def shloka_filler(element, content):
text_in_shloka = element["content"]
if len(text_in_shloka) > 1: # to avoid the single "["
content["shloka"] += delimiter_for_join(content["shloka"]) +\
text_in_shloka
content["devanagri"] += delimiter_for_join(content["devanagri"]) +\
translit.gita_to_devanagari(text_in_shloka)
return content
def style_translits(text_to_style):
styled = ''
tokens_in_xlat = re.split(r'(\[[^\[]+\])', text_to_style)
for token in tokens_in_xlat:
if token.startswith('['):
token = token[1:-1]
token = span('transliteration', token) +\
span('sanskrit', translit.gita_to_devanagari(token))
styled += token
return styled
def expln_to_meanings(explnline):
explnseq = [x.strip() for x in re.split('(\[[^\]]*\])', explnline) if x]
meaningitems = []
for phrase in explnseq:
if phrase.startswith('['):
devanagari = translit.gita_to_devanagari(no_sq_encl(phrase))
meaningitems.append(f'`{devanagari}` `{translit.to_harward_kyoto(phrase)}`')
else:
meaningitems.append(phrase.strip())
return ' '.join(meaningitems)
def tokenize_translits(text_to_style):
translits = []
translation = {}
tokens_in_xlat = re.split(r'(\[[^\[]+\])', text_to_style)
for token in filter_blanks(tokens_in_xlat):
if token.startswith('['):
token = token[1:-1]
translation['english'] = token
translation['sanskrit'] = translit.gita_to_devanagari(token)
else:
translation['translate'] = token
translits.append(translation)
translation = {}
return translits
def test_Gita_is_converted_to_devanagari(self):
expected_mapping = {
"siddhayE": "सिद्धये",
"sanga": "सङ्ग",
"shankha": "शङ्ख",
"karmaNa:": "कर्मणः",
"kr`ShNa": "कृष्ण",
"vartana": "वर्तन",
"sanga karmaNa: vartana": "सङ्ग कर्मणः वर्तन",
"ichChA": "इच्छा",
"prakr'tisthO": "प्रकृतिस्थो",
"bhunktE": "भुङ्क्ते",
"saMjnai": "संज्ञै",
"sO_mr`tatvAya": "सोऽमृतत्वाय",
"yajna": "यज्ञ",
"swadharmE": "स्वधर्मे"
}
for transliterated in expected_mapping:
self.assertEqual(expected_mapping[transliterated],
translit.gita_to_devanagari(transliterated))