Last active
July 3, 2022 16:09
-
-
Save hrishikeshrt/130c0b494a3370c0cfd0e011a8c3a082 to your computer and use it in GitHub Desktop.
Sanskrit Utility Functions
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Tue Apr 17 22:20:39 2018 | |
| Updated on Sun Jul 03 21:39:43 2022 | |
| @author: Hrishikesh Terdalkar | |
| """ | |
| import re | |
| import logging | |
| from collections import defaultdict | |
| from itertools import product | |
| logger = logging.getLogger(__name__) | |
| ############################################################################### | |
| def ord_unicode(ch): | |
| return hex(ord(ch)).split('x')[1].zfill(4) | |
| def chr_unicode(u): | |
| return chr(int(u, 16)) | |
| ############################################################################### | |
| # Alphabet of Sanskrit | |
| MATRA = ['ा', 'ि', 'ी', 'ु', 'ू', 'ृ', 'ॄ', 'ॢ', 'ॣ', 'े', 'ै', 'ो', 'ौ'] | |
| SWARA = ['अ', 'आ', 'इ', 'ई', 'उ', 'ऊ', 'ऋ', 'ॠ', 'ऌ', 'ॡ', 'ए', 'ऐ', 'ओ', 'औ'] | |
| KANTHYA = ['क', 'ख', 'ग', 'घ', 'ङ'] | |
| TALAVYA = ['च', 'छ', 'ज', 'झ', 'ञ'] | |
| MURDHANYA = ['ट', 'ठ', 'ड', 'ढ', 'ण'] | |
| DANTYA = ['त', 'थ', 'द', 'ध', 'न'] | |
| AUSHTHYA = ['प', 'फ', 'ब', 'भ', 'म'] | |
| ANTAHSTHA = ['य', 'र', 'ल', 'व'] | |
| USHMA = ['श', 'ष', 'स', 'ह'] | |
| VISHISHTA = ['ळ'] | |
| VARGIYA = KANTHYA + TALAVYA + MURDHANYA + DANTYA + AUSHTHYA | |
| VYANJANA = VARGIYA + ANTAHSTHA + USHMA + VISHISHTA | |
| VARGA_PRATHAMA = [VARGIYA[i * 5] for i in range(5)] | |
| VARGA_DWITIYA = [VARGIYA[i * 5 + 1] for i in range(5)] | |
| VARGA_TRITIYA = [VARGIYA[i * 5 + 2] for i in range(5)] | |
| VARGA_CHATURTHA = [VARGIYA[i * 5 + 3] for i in range(5)] | |
| VARGA_PANCHAMA = [VARGIYA[i * 5 + 4] for i in range(5)] | |
| LAGHU_SWARA = [SWARA[i] for i in [0, 2, 4, 6, 8]] | |
| LAGHU_MATRA = [MATRA[i] for i in [1, 3, 5, 7]] | |
| OM = 'ॐ' | |
| AVAGRAHA = 'ऽ' | |
| SWARITA = '॑' | |
| DOUBLE_SWARITA = '᳚' | |
| TRIPLE_SWARITA = '᳛' | |
| ANUDATTA = '॒' | |
| CHANDRABINDU = 'ँ' | |
| CHANDRABINDU_VIRAMA = 'ꣳ' | |
| CHANDRABINDU_SPACING = 'ꣲ' | |
| ANUSWARA = 'ं' | |
| VISARGA = 'ः' | |
| ARDHAVISARGA = 'ᳲ' | |
| JIHVAAMULIYA = 'ᳵ' | |
| UPADHMANIYA = 'ᳶ' | |
| HALANTA = '्' | |
| NUKTA = '़' | |
| ABBREV = '॰' | |
| DANDA = '।' | |
| DOUBLE_DANDA = '॥' | |
| EXTRA_MATRA = [CHANDRABINDU, ANUSWARA, VISARGA] | |
| AYOGAVAAHA = EXTRA_MATRA + [JIHVAAMULIYA, UPADHMANIYA] | |
| VEDIC_MARKS = [SWARITA, ANUDATTA, DOUBLE_SWARITA, TRIPLE_SWARITA] | |
| SPECIAL = [AVAGRAHA, OM, NUKTA, CHANDRABINDU_VIRAMA, CHANDRABINDU_SPACING] | |
| OTHER = [HALANTA] | |
| VARNA = SWARA + VYANJANA | |
| ALPHABET = VARNA + MATRA + AYOGAVAAHA + SPECIAL + OTHER + VEDIC_MARKS | |
| SPACES = [' ', '\t', '\n', '\r'] | |
| PUNC = [DANDA, DOUBLE_DANDA, ABBREV] | |
| GEN_PUNC = ['.', ',', ';', '', '"', "'", '`'] | |
| DIGITS = ['०', '१', '२', '३', '४', '५', '६', '७', '८', '९'] | |
| COMBINING_DIGIT_MARKS = ['꣠', '꣡', '꣢', '꣣', '꣤', '꣥', '꣦', '꣧', '꣨', '꣩'] | |
| KSHA = 'क्ष' | |
| JNA = 'ज्ञ' | |
| ############################################################################### | |
| HOW_TO_WRITE = """ | |
| Unicode characters chan be typed directly from the keyboard as follows, | |
| [Ctrl+Shift+u] [4-digit-unicode-identifier] [space] | |
| Some of the characters can also be typed using m17n-sanskrit-itrans keyboard | |
| (Package: https://launchpad.net/ubuntu/+source/ibus-m17n) | |
| (File: /usr/share/m17n/sa-itrans.mim) | |
| Notable Unicodes and Shortcuts | |
| --- | |
| 1cf2 for Ardhavisarga | |
| 1cf5 for Jihvamuliya -- kH | |
| 1cf6 for Upadhmaniya -- pH | |
| 0951 for Swarita -- '' | |
| 0952 for Anudatta -- _ | |
| 0901 for Chandrabindu -- .N | |
| a8f2 for (stand-alone) Chandrabindu Spacing | |
| 093d for Avagraha -- .a | |
| 094d for Halanta -- .h | |
| 0950 for Om -- OM | |
| a8e0 to a8e9 for Combining Devanagari Digits 0-9 (Swara Marks for Samaveda) | |
| """ | |
| ############################################################################### | |
| MAAHESHWARA_SUTRA = [ | |
| ['अ', 'इ', 'उ', 'ण्'], | |
| ['ऋ', 'ऌ', 'क्'], | |
| ['ए', 'ओ', 'ङ्'], | |
| ['ऐ', 'औ', 'च्'], | |
| ['ह', 'य', 'व', 'र', 'ट्'], | |
| ['ल', 'ण्'], | |
| ['ञ', 'म', 'ङ', 'ण', 'न', 'म्'], | |
| ['झ', 'भ', 'ञ्'], | |
| ['घ', 'ढ', 'ध', 'ष्'], | |
| ['ज', 'ब', 'ग', 'ड', 'द', 'श्'], | |
| ['ख', 'फ', 'छ', 'ठ', 'थ', 'च', 'ट', 'त', 'व्'], | |
| ['क', 'प', 'य्'], | |
| ['श', 'ष', 'स', 'र्'], | |
| ['ह', 'ल्'] | |
| ] | |
| # --------------------------------------------------------------------------- # | |
| MAAHESHWARA_KRAMA = [varna for sutra in MAAHESHWARA_SUTRA for varna in sutra] | |
| # --------------------------------------------------------------------------- # | |
| MAAHESHWARA_IDX = defaultdict(list) | |
| idx = 0 | |
| for _sutra_idx, sutra in enumerate(MAAHESHWARA_SUTRA): | |
| for _internal_idx, varna in enumerate(sutra): | |
| if HALANTA in varna: | |
| _idx = -1 | |
| else: | |
| _idx = idx | |
| idx += 1 | |
| MAAHESHWARA_IDX[varna].append((_sutra_idx, _internal_idx, _idx)) | |
| ############################################################################### | |
| def form_pratyaahaara(letters): | |
| """Form a pratyaahaara from a list of letters""" | |
| varna_idx = [] | |
| ignored = [] | |
| for varna in letters: | |
| if varna in MAAHESHWARA_IDX and HALANTA not in varna: | |
| varna_idx.append(MAAHESHWARA_IDX[varna]) | |
| else: | |
| ignored.append(varna) | |
| if ignored: | |
| logger.info(f"Ignored letters: {ignored}") | |
| varna_idxs = product(*varna_idx) | |
| for v_idx in varna_idxs: | |
| v_idx = sorted(v_idx, key=lambda x: x[2]) | |
| _v_idx = [w[2] for w in v_idx] | |
| if _v_idx != list(range(_v_idx[0], _v_idx[-1] + 1)): | |
| continue | |
| else: | |
| break | |
| else: | |
| logger.warning("Cannot form a pratyaahara due to discontinuity.") | |
| return None | |
| _aadi_idx = v_idx[0] | |
| _pre_antya_idx = v_idx[-1] | |
| if _pre_antya_idx[1] != len(MAAHESHWARA_SUTRA[_pre_antya_idx[0]]) - 2: | |
| logger.warning("Cannot form a pratyaahara due to end position.") | |
| return None | |
| aadi = MAAHESHWARA_SUTRA[_aadi_idx[0]][_aadi_idx[1]] | |
| antya = MAAHESHWARA_SUTRA[_pre_antya_idx[0]][-1] | |
| return f'{aadi}{antya}' | |
| def resolve_pratyaahaara(pratyaahaara): | |
| """Resolve pratyaahaara""" | |
| aadi = pratyaahaara[0] | |
| antya = pratyaahaara[1:] | |
| possible_starts = [] | |
| possible_ends = [] | |
| for idx, varna in enumerate(MAAHESHWARA_KRAMA): | |
| if varna == aadi: | |
| possible_starts.append(idx) | |
| if varna == antya: | |
| possible_ends.append(idx) | |
| resolutions = [ | |
| [MAAHESHWARA_KRAMA[idx] | |
| for idx in range(start, end) | |
| if HALANTA not in MAAHESHWARA_KRAMA[idx]] | |
| for start in possible_starts | |
| for end in possible_ends | |
| if start < end | |
| ] | |
| return resolutions | |
| ############################################################################### | |
| def clean(text, punct=False, digits=False, spaces=True, allow=[]): | |
| """ | |
| Clean a line of samskRta text | |
| - punct: False (True means punctuations are kept) | |
| - digits: False (True means digits are kept) | |
| - spaces: True (we usually don't want to change this) | |
| - allow: list of characters to allow | |
| """ | |
| alphabet = ALPHABET + allow | |
| if spaces: | |
| alphabet += SPACES | |
| if punct: | |
| alphabet += PUNC + GEN_PUNC | |
| if digits: | |
| alphabet += DIGITS | |
| answer = ''.join(['' if c not in alphabet else c for c in text]) | |
| answer = '\n'.join([' '.join(line.split()) | |
| for line in answer.split('\n') if line.strip()]) | |
| return answer | |
| def split_lines(text, pattern=r'[।॥\r\n]+'): | |
| return list(filter(None, re.split(pattern, text))) | |
| ############################################################################### | |
| def trim_matra(line): | |
| answer = line | |
| if line[-1] in [ANUSWARA, HALANTA, VISARGA]: | |
| answer = line[:-1] | |
| if answer[-1] in MATRA: | |
| answer = answer[:-1] | |
| return answer | |
| ############################################################################### | |
| def is_laghu(syllable): | |
| """ | |
| Checks if the current syllable is Laghu | |
| """ | |
| return all([(x in VYANJANA or | |
| x in LAGHU_SWARA or | |
| x in LAGHU_MATRA or | |
| x == HALANTA) for x in syllable]) | |
| def toggle_matra(syllable): | |
| """ | |
| Change the Laghu syllable to Guru and Guru to Laghu (if possible) | |
| """ | |
| if syllable[-1] in MATRA: | |
| index = MATRA.index(syllable[-1]) | |
| if index in [2, 4, 6, 8]: | |
| return syllable[:-1] + MATRA[index-1] | |
| if index in [1, 3, 5, 7]: | |
| return syllable[:-1] + MATRA[index+1] | |
| if syllable in SWARA: | |
| index = SWARA.index(syllable) | |
| if index in [0, 2, 4, 6, 8]: | |
| return SWARA[index + 1] | |
| if index in [1, 3, 5, 7, 9]: | |
| return SWARA[index - 1] | |
| ############################################################################### | |
| def maatra_to_swara(m): | |
| """Convert the Matra to corresponding Swara""" | |
| if m == f'-{SWARA[0]}': | |
| return SWARA[0] | |
| try: | |
| m_idx = MATRA.index(m) | |
| except Exception: | |
| return None | |
| return SWARA[m_idx + 1] | |
| def swara_to_maatra(s): | |
| """Convert a Swara to correponding Matra""" | |
| if s == SWARA[0]: | |
| return f'-{s}' | |
| try: | |
| s_idx = SWARA.index(s) | |
| except Exception: | |
| return None | |
| return MATRA[s_idx - 1] | |
| ############################################################################### | |
| def get_anunaasika(ch): | |
| """Get appropriate anunasik from the character's group""" | |
| MA = AUSHTHYA[4] | |
| if ch == '': | |
| return MA | |
| if ch in VYANJANA: | |
| i = VYANJANA.index(ch) | |
| if i < 25: | |
| return VYANJANA[int(i/5) * 5 + 4] | |
| else: | |
| return ANUSWARA | |
| else: | |
| return ANUSWARA | |
| def fix_anuswara(text): | |
| output_chars = [] | |
| if text: | |
| for idx in range(len(text) - 1): | |
| char = text[idx] | |
| next_char = text[idx + 1] | |
| if char == ANUSWARA and next_char in VARGIYA: | |
| anunasika = get_anunaasika(next_char) | |
| output_chars.append(anunasika) | |
| output_chars.append(HALANTA) | |
| else: | |
| output_chars.append(char) | |
| output_chars.append(text[-1]) | |
| return ''.join(output_chars) | |
| ############################################################################### | |
| def get_syllables_word(word, technical=False): | |
| """ | |
| Get syllables from a Sanskrit word | |
| @params: | |
| word: word to get syllables from | |
| technical: (boolean) | |
| if True, ensures that each element contains at most | |
| one Swara or Vyanjana | |
| """ | |
| word = clean(word, spaces=False) | |
| wlen = len(word) | |
| word_syllables = [] | |
| current = '' | |
| i = 0 | |
| while i < wlen: | |
| curr_ch = word[i] | |
| current += curr_ch | |
| i += 1 | |
| # words split to start at START_CHARS | |
| start_chars = VARNA + SPECIAL | |
| if technical: | |
| start_chars += EXTRA_MATRA | |
| while i < wlen and word[i] not in start_chars: | |
| current += word[i] | |
| i += 1 | |
| if current[-1] != HALANTA or i == wlen or technical: | |
| word_syllables.append(current) | |
| current = '' | |
| return word_syllables | |
| def get_syllables(text, technical=False): | |
| """ | |
| Get syllables from a Sanskrit text | |
| @params: | |
| word: word to get syllables from | |
| technical: (boolean) | |
| if True, ensures that each element contains at most | |
| one Swara or Vyanjana | |
| """ | |
| lines = split_lines(text.strip()) | |
| syllables = [] | |
| for line in lines: | |
| words = line.split() | |
| line_syllables = [] | |
| for word in words: | |
| word_syllables = get_syllables_word(word, technical) | |
| line_syllables.append(word_syllables) | |
| syllables.append(line_syllables) | |
| return syllables | |
| ############################################################################### | |
| def split_varna_word(word, technical=True): | |
| """ | |
| Give a Varna decomposition of a Sanskrit word | |
| @params: | |
| word: word to be split | |
| technical: (boolean) | |
| if True would give split more useful for analysis | |
| @return: | |
| viccheda: list of list of lists | |
| Viccheda of each word is a list. | |
| - List of Viccheda of each word from a line | |
| - List of Viccheda of each line from the text | |
| """ | |
| word_syllables = get_syllables_word(word, True) | |
| word_viccheda = [] | |
| for syllable in word_syllables: | |
| if syllable[0] in SWARA: | |
| word_viccheda.append(syllable[0]) | |
| if len(syllable) > 1: | |
| word_viccheda.append(syllable[1]) | |
| # TODO: Will this ever be the case? | |
| if len(syllable) > 2: | |
| logger.debug(f"Long SWARA: {syllable}") | |
| word_viccheda.append(syllable[2:]) | |
| elif syllable[0] in VYANJANA: | |
| word_viccheda.append(syllable[0] + HALANTA) | |
| if len(syllable) == 1: | |
| word_viccheda.append('-' + SWARA[0]) | |
| if len(syllable) > 1: | |
| if syllable[1] in EXTRA_MATRA: | |
| word_viccheda.append('-' + SWARA[0]) | |
| if syllable[1] != HALANTA: | |
| word_viccheda.append(syllable[1]) | |
| # TODO: Will this ever be the case? | |
| if len(syllable) > 2: | |
| logger.debug(f"Long VYANJANA: {syllable}") | |
| word_viccheda.append(syllable[2:]) | |
| else: | |
| word_viccheda.append(syllable) | |
| if not technical: | |
| real_word_viccheda = [] | |
| for varna in word_viccheda: | |
| if varna in MATRA: | |
| m_idx = MATRA.index(varna) | |
| real_word_viccheda.append(SWARA[m_idx + 1]) | |
| elif varna == f'-{SWARA[0]}': | |
| real_word_viccheda.append(varna[1]) | |
| elif varna in EXTRA_MATRA: | |
| real_word_viccheda[-1] += varna | |
| else: | |
| real_word_viccheda.append(varna) | |
| word_viccheda = real_word_viccheda | |
| return word_viccheda | |
| def split_varna(text, technical=True, flat=False): | |
| """ | |
| Give a Varna decomposition of a Sanskrit text | |
| @params: | |
| text: text to be split | |
| technical: (boolean) | |
| if True would give split more useful for analysis | |
| flat: (boolean) | |
| If True, | |
| return a single list instead of nested lists | |
| words will be separated by a space, lines by a newline char | |
| The default is False | |
| @return: | |
| viccheda: list of list of lists | |
| Viccheda of each word is a list. | |
| - List of Viccheda of each word from a line | |
| - List of Viccheda of each line from the text | |
| """ | |
| lines = split_lines(text.strip()) | |
| viccheda = [] | |
| num_lines = len(lines) | |
| for line_idx, line in enumerate(lines): | |
| words = line.split() | |
| line_viccheda = [] | |
| num_words = len(words) | |
| for word_idx, word in enumerate(words): | |
| word_viccheda = split_varna_word(word, technical) | |
| if flat: | |
| line_viccheda.extend(word_viccheda) | |
| if word_idx != num_words - 1: | |
| line_viccheda.append(' ') | |
| else: | |
| line_viccheda.append(word_viccheda) | |
| if flat: | |
| viccheda.extend(line_viccheda) | |
| if line_idx != num_lines - 1: | |
| viccheda.append('\n') | |
| else: | |
| viccheda.append(line_viccheda) | |
| return viccheda | |
| def join_varna(viccheda, technical=True): | |
| """ | |
| Join Varna decomposition to form a Sanskrit word | |
| Parameters | |
| ---------- | |
| viccheda : list | |
| Viccheda output obtained by split_varna_word | |
| (or output of split_varna with flat=True) | |
| technical : bool | |
| Value of the same parameter passed to split_varna_word | |
| Returns | |
| ------- | |
| s : str | |
| Sanskrit word | |
| """ | |
| word = [] | |
| i = 0 | |
| while i < len(viccheda): | |
| curr_syl = viccheda[i] | |
| next_syl = '' | |
| if i < len(viccheda) - 1: | |
| next_syl = viccheda[i+1] | |
| i += 1 | |
| if curr_syl in [' ', '\n']: | |
| word.append(curr_syl) | |
| continue | |
| if curr_syl[0] in SWARA + SPECIAL: | |
| word.append(curr_syl[0]) | |
| if curr_syl[-1] in EXTRA_MATRA: | |
| word.append(curr_syl[-1]) | |
| if curr_syl[-1] == HALANTA: | |
| if next_syl in [' ', '\n']: | |
| word.append(curr_syl) | |
| continue | |
| if next_syl == '': | |
| word.append(curr_syl) | |
| break | |
| if next_syl[-1] == HALANTA: | |
| word.append(curr_syl) | |
| if next_syl[0] in SWARA: | |
| i += 1 | |
| word.append(curr_syl[:-1]) | |
| if next_syl[0] != SWARA[0]: | |
| s_idx = SWARA.index(next_syl[0]) | |
| matra = MATRA[s_idx - 1] | |
| word.append(matra) | |
| if next_syl[-1] == VISARGA: | |
| word.append(next_syl[-1]) | |
| if next_syl in EXTRA_MATRA: | |
| i += 1 | |
| word.append(curr_syl[:-1] + next_syl) | |
| if next_syl in MATRA + ['-अ']: | |
| i += 1 | |
| word.append(curr_syl[:-1]) | |
| if next_syl != '-अ': | |
| word.append(next_syl) | |
| if curr_syl in MATRA + ['-अ'] + EXTRA_MATRA: | |
| word.append(curr_syl) | |
| return ''.join(word) | |
| ############################################################################### | |
| ############################################################################### | |
| # Ucchaarana Sthaana Module | |
| # ------------------------ | |
| STHAANA = { | |
| 'S_K': ['अ', 'आ'] + KANTHYA + ['ह'] + [VISARGA], | |
| 'S_T': ['इ', 'ई'] + TALAVYA + ['य', 'श'], | |
| 'S_M': ['ऋ', 'ॠ'] + MURDHANYA + ['र', 'ष'], | |
| 'S_D': ['ऌ', 'ॡ'] + DANTYA + ['ल', 'स'], | |
| 'S_O': ['उ', 'ऊ'] + AUSHTHYA + [UPADHMANIYA], | |
| 'S_N': VARGA_PANCHAMA + [ANUSWARA], | |
| 'S_KT': ['ए', 'ऐ'], | |
| 'S_KO': ['ओ', 'औ'], | |
| 'S_DO': ['व'], | |
| 'S_JM': [JIHVAAMULIYA] | |
| } | |
| STHAANA_NAMES = { | |
| 'S_K': 'कण्ठः', | |
| 'S_T': 'तालु', | |
| 'S_M': 'मूर्धा', | |
| 'S_D': 'दन्ताः', | |
| 'S_O': 'ओष्ठौ', | |
| 'S_N': 'नासिका', | |
| 'S_KT': 'कण्ठतालु', | |
| 'S_KO': 'कण्ठौष्ठम्', | |
| 'S_DO': 'दन्तौष्ठम्', | |
| 'S_JM': 'जिह्वामूलम्' | |
| } | |
| ############################################################################### | |
| AABHYANTARA = { | |
| 'A_SP': VARGIYA, | |
| 'A_ISP': ANTAHSTHA, | |
| 'A_IVVT': USHMA + [JIHVAAMULIYA, UPADHMANIYA], | |
| 'A_VVT': SWARA[1:] + [CHANDRABINDU, ANUSWARA, VISARGA], | |
| 'A_SVT': SWARA[:1] | |
| } | |
| AABHYANTARA_NAMES = { | |
| 'A_SP': 'स्पृष्टः', | |
| 'A_ISP': 'ईषत्स्पृष्टः', | |
| 'A_IVVT': 'ईषद्विवृतः', | |
| 'A_VVT': 'विवृतः', | |
| 'A_SVT': 'संवृतः' | |
| } | |
| ############################################################################### | |
| BAAHYA = { | |
| 'B_VVR': resolve_pratyaahaara('खर्')[0], | |
| 'B_SVR': resolve_pratyaahaara('हश्')[0] + SWARA, | |
| 'B_SW': resolve_pratyaahaara('खर्')[0], | |
| 'B_ND': resolve_pratyaahaara('हश्')[0] + SWARA, | |
| 'B_GH': resolve_pratyaahaara('हश्')[0] + SWARA, | |
| 'B_AGH': resolve_pratyaahaara('खर्')[0], | |
| 'B_AP': ( | |
| VARGA_PRATHAMA + VARGA_TRITIYA + VARGA_PANCHAMA + | |
| resolve_pratyaahaara('यण्')[0] | |
| ) + SWARA + [CHANDRABINDU, ANUSWARA], | |
| 'B_MP': ( | |
| VARGA_DWITIYA + VARGA_CHATURTHA + | |
| resolve_pratyaahaara('शल्')[0] | |
| ) + [VISARGA, JIHVAAMULIYA, UPADHMANIYA], | |
| 'B_U': SWARA, | |
| 'B_ANU': [s + ANUDATTA for s in SWARA], | |
| 'B_SWA': [s + SWARITA for s in SWARA] | |
| } | |
| BAAHYA_NAMES = { | |
| 'B_VVR': 'विवारः', | |
| 'B_SVR': 'संवारः', | |
| 'B_SW': 'श्वासः', | |
| 'B_ND': 'नादः', | |
| 'B_GH': 'घोषः', | |
| 'B_AGH': 'अघोषः', | |
| 'B_AP': 'अल्पप्राणः', | |
| 'B_MP': 'महाप्राणः', | |
| 'B_U': 'उदात्तः', | |
| 'B_ANU': 'अनुदात्तः', | |
| 'B_SWA': 'स्वरितः' | |
| } | |
| ############################################################################### | |
| UCCHAARANA = dict(**STHAANA, **AABHYANTARA, **BAAHYA) | |
| UCCHAARANA_NAMES = dict(**STHAANA_NAMES, **AABHYANTARA_NAMES, **BAAHYA_NAMES) | |
| ############################################################################### | |
| def get_ucchaarana_vector(letter, abbrev=False): | |
| """ | |
| Get ucchaarana sthaana and prayatna based vector of a letter | |
| Parameters | |
| ---------- | |
| letter : str | |
| Sanskrit letter | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| vector : dict | |
| one-hot vector indicating utpatti sthaana, aabhyantara prayatna and | |
| baahya prayatna of a letter | |
| """ | |
| varna = letter.replace(HALANTA, '') if letter.endswith(HALANTA) else letter | |
| if abbrev: | |
| def ucchaarana_name(s): | |
| return s | |
| else: | |
| def ucchaarana_name(s): | |
| return UCCHAARANA_NAMES[s] | |
| vector = {ucchaarana_name(k): 0 for k in UCCHAARANA} | |
| for s, varna_list in UCCHAARANA.items(): | |
| if varna in varna_list: | |
| vector[ucchaarana_name(s)] = 1 | |
| return vector | |
| def get_ucchaarana_vectors(word, abbrev=False): | |
| """ | |
| Get ucchaarana sthaana and prayatna based vector of a word or text | |
| Parameters | |
| ---------- | |
| word : str | |
| Sanskrit word (or text) | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| vectors : list | |
| List of (letter, vector) | |
| """ | |
| letters = [] | |
| for letter in split_varna_word(word, technical=False): | |
| if [v for v in EXTRA_MATRA if v in letter]: | |
| letters.extend(letter) | |
| else: | |
| letters.append(letter) | |
| return [ | |
| (letter, get_ucchaarana_vector(letter, abbrev)) | |
| for letter in letters | |
| ] | |
| ############################################################################### | |
| def get_signature_letter(letter, abbrev=False): | |
| """ | |
| Get ucchaarana sthaana and prayatna based signature of a letter | |
| Parameters | |
| ---------- | |
| letter : str | |
| Sanskrit letter | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| signature : dict | |
| utpatti sthaana, aabhyantara prayatna and baahya prayatna of a letter | |
| """ | |
| sthaana = get_ucchaarana_letter(letter, dimension=0, abbrev=abbrev) | |
| aabhyantara = get_ucchaarana_letter(letter, dimension=1, abbrev=abbrev) | |
| baahya = get_ucchaarana_letter(letter, dimension=2, abbrev=abbrev) | |
| signature = { | |
| 'sthaana': sthaana, | |
| 'aabhyantara': aabhyantara, | |
| 'baahya': baahya | |
| } | |
| return signature | |
| def get_signature_word(word, abbrev=False): | |
| """ | |
| Get ucchaarana sthaana and prayatna based signature of a word | |
| Parameters | |
| ---------- | |
| word : str | |
| Sanskrit word (or text) | |
| Caution: | |
| If multiple words are provided, the spaces are not included in | |
| the output list | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| list | |
| List of (letter, signature) | |
| """ | |
| letters = [] | |
| for letter in split_varna_word(word, technical=False): | |
| if [v for v in EXTRA_MATRA if v in letter]: | |
| letters.extend(letter) | |
| else: | |
| letters.append(letter) | |
| return [ | |
| (letter, get_signature_letter(letter, abbrev)) | |
| for letter in letters | |
| ] | |
| def get_signature(text, abbrev=False): | |
| """ | |
| Get ucchaarana list of a Sanskrit text | |
| Parameters | |
| ---------- | |
| text : str | |
| Sanskrit text (can contain newlines, spaces) | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| list | |
| List of (letter, signature) for words in a nested list manner | |
| Nesting Levels: Text -> Lines -> Words | |
| """ | |
| lines = split_lines(text.strip()) | |
| signature = [] | |
| for line in lines: | |
| words = line.split() | |
| line_signature = [] | |
| for word in words: | |
| word_signature = get_signature_word(word, abbrev) | |
| line_signature.append(word_signature) | |
| signature.append(line_signature) | |
| return signature | |
| ############################################################################### | |
| def get_ucchaarana_letter(letter, dimension=0, abbrev=False): | |
| """ | |
| Get ucchaarana sthaana or prayatna of a letter | |
| Parameters | |
| ---------- | |
| letter : str | |
| Sanskrit letter | |
| dimension : int | |
| 0 : sthaana | |
| 1 : aabhyantara prayatna | |
| 2 : baahya prayatna | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| str | |
| ucchaarana sthaana or prayatna of a letter | |
| """ | |
| varna = letter.replace(HALANTA, '') if letter.endswith(HALANTA) else letter | |
| ucchaarana = [] | |
| _UCCHAARANA = [STHAANA, AABHYANTARA, BAAHYA] | |
| _NAMES = [STHAANA_NAMES, AABHYANTARA_NAMES, BAAHYA_NAMES] | |
| if abbrev: | |
| def ucchaarana_name(s): | |
| return s | |
| join_str = '-' | |
| else: | |
| def ucchaarana_name(s): | |
| return _NAMES[dimension][s] | |
| join_str = ' ' | |
| for s, varna_list in _UCCHAARANA[dimension].items(): | |
| if varna in varna_list: | |
| ucchaarana.append(ucchaarana_name(s)) | |
| if len(ucchaarana) > 1 and not abbrev: | |
| ucchaarana.append('च') | |
| return join_str.join(ucchaarana) | |
| def get_ucchaarana_word(word, dimension=0, abbrev=False): | |
| """ | |
| Get ucchaarana of a word | |
| Parameters | |
| ---------- | |
| word : str | |
| Sanskrit word (or text) | |
| Caution: | |
| If multiple words are provided, the spaces are not included in | |
| the output list | |
| dimension : int | |
| 0 : sthaana | |
| 1 : aabhyantara prayatna | |
| 2 : baahya prayatna | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| list | |
| List of (letter, ucchaarana) | |
| """ | |
| letters = [] | |
| for letter in split_varna_word(word, technical=False): | |
| if [v for v in EXTRA_MATRA if v in letter]: | |
| letters.extend(letter) | |
| else: | |
| letters.append(letter) | |
| return [ | |
| (letter, get_ucchaarana_letter(letter, dimension, abbrev)) | |
| for letter in letters | |
| ] | |
| def get_ucchaarana(text, dimension=0, abbrev=False): | |
| """ | |
| Get ucchaarana list of a Sanskrit text | |
| Parameters | |
| ---------- | |
| text : str | |
| Sanskrit text (can contain newlines, spaces) | |
| dimension : int | |
| 0 : sthaana | |
| 1 : aabhyantara prayatna | |
| 2 : baahya prayatna | |
| abbrev : bool | |
| If True, | |
| The output will contain English abbreviations | |
| Otherwise, | |
| The output will contain Sanskrit names | |
| The default is False. | |
| Returns | |
| ------- | |
| list | |
| List of (letter, ucchaarana) for words in a nested list manner | |
| Nesting Levels: Text -> Lines -> Words | |
| """ | |
| lines = split_lines(text.strip()) | |
| ucchaarana = [] | |
| for line in lines: | |
| words = line.split() | |
| line_ucchaarana = [] | |
| for word in words: | |
| word_ucchaarana = get_ucchaarana_word(word, dimension, abbrev) | |
| line_ucchaarana.append(word_ucchaarana) | |
| ucchaarana.append(line_ucchaarana) | |
| return ucchaarana | |
| ############################################################################### | |
| def get_sthaana_letter(letter, abbrev=False): | |
| """Wrapper for get_ucchaarana_letter for sthaana""" | |
| return get_ucchaarana_letter(letter, dimension=0, abbrev=abbrev) | |
| def get_sthaana_word(word, abbrev=False): | |
| """Wrapper for get_ucchaarana_word for sthaana""" | |
| return get_ucchaarana_word(word, dimension=0, abbrev=abbrev) | |
| def get_sthaana(text, abbrev=False): | |
| """Wrapper for get_ucchaarana for sthaana""" | |
| return get_ucchaarana(text, dimension=0, abbrev=abbrev) | |
| # --------------------------------------------------------------------------- # | |
| def get_aabhyantara_letter(letter, abbrev=False): | |
| """Wrapper for get_ucchaarana_letter for aabhyantara""" | |
| return get_ucchaarana_letter(letter, dimension=1, abbrev=abbrev) | |
| def get_aabhyantara_word(word, abbrev=False): | |
| """Wrapper for get_ucchaarana_word for aabhyantara""" | |
| return get_ucchaarana_word(word, dimension=1, abbrev=abbrev) | |
| def get_aabhyantara(text, abbrev=False): | |
| """Wrapper for get_ucchaarana for aabhyantara""" | |
| return get_ucchaarana(text, dimension=1, abbrev=abbrev) | |
| # --------------------------------------------------------------------------- # | |
| def get_baahya_letter(letter, abbrev=False): | |
| """Wrapper for get_ucchaarana_letter for baahya""" | |
| return get_ucchaarana_letter(letter, dimension=2, abbrev=abbrev) | |
| def get_baahya_word(word, abbrev=False): | |
| """Wrapper for get_ucchaarana_word for baahya""" | |
| return get_ucchaarana_word(word, dimension=2, abbrev=abbrev) | |
| def get_baahya(text, abbrev=False): | |
| """Wrapper for get_ucchaarana for baahya""" | |
| return get_ucchaarana(text, dimension=2, abbrev=abbrev) | |
| ############################################################################### |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment