# Path: sanskrit_parser/base/sanskrit_base.py
# class SanskritObject(SanskritNormalizedString):
#     """ Sanskrit Object Class: Derived From SanskritString
# 
#         Attributes:
# 
#     """
#     def __init__(self, thing=None, encoding=None, unicode_encoding='utf-8',
#                  strict_io=True, replace_ending_visarga='s'):
#         super().__init__(thing, encoding, unicode_encoding, strict_io, replace_ending_visarga)
#         # Tags will go here as
#         self.tags = []
# 
#     def setMorphologicalTags(self, t):
#         """ Set Morphological Tags on Sanskrit Object
# 
#             Params:
#                t (list): List of morphological tags
#         """
#         self.tags.extend(t)
#         return self.tags
# 
#     def getMorphologicalTags(self):
#         """ Morphological Tags on object """
#         return self.tags
# 
# SLP1 = sanscript.SLP1


import codecs
import os
import inspect
import logging
import re
import six
import json
from sanskrit_parser.lexical_analyzer.sandhi import Sandhi
from sanskrit_parser.base.sanskrit_base import SanskritObject, SLP1

    return splits, full


def load_reference_data_from_file(filename):
    sandhi_references = []
    basename = os.path.basename(filename)
    logger.debug("Processing tests from file %s", basename)
    with codecs.open(filename, "rb", 'utf-8') as f:
        for linenum, line in enumerate(f):
            line = line.strip()
            if line.startswith('#') or line == '':
                continue
            ref = SanskritObject(line).transcoded(SLP1)
            if "=>" in line:
                joined, splits = map(six.text_type.strip, ref.split("=>"))
            elif "=" in line:
                splits, joined = map(six.text_type.strip, ref.split("="))
            else:
                continue
            split = list(map(six.text_type.strip, splits.split('+')))
            clean = clean_references(split, joined)
            if clean:
                split, joined = clean
                sandhi_references.append((tuple(split), joined, basename, linenum + 1))
    return sandhi_references


def to_devanagari(obj):
    if isinstance(obj, (six.text_type, six.string_types)):

# Path: sanskrit_parser/base/sanskrit_base.py
# class SanskritObject(SanskritNormalizedString):
#     """ Sanskrit Object Class: Derived From SanskritString
# 
#         Attributes:
# 
#     """
#     def __init__(self, thing=None, encoding=None, unicode_encoding='utf-8',
#                  strict_io=True, replace_ending_visarga='s'):
#         super().__init__(thing, encoding, unicode_encoding, strict_io, replace_ending_visarga)
#         # Tags will go here as
#         self.tags = []
# 
#     def setMorphologicalTags(self, t):
#         """ Set Morphological Tags on Sanskrit Object
# 
#             Params:
#                t (list): List of morphological tags
#         """
#         self.tags.extend(t)
#         return self.tags
# 
#     def getMorphologicalTags(self):
#         """ Morphological Tags on object """
#         return self.tags
# 
# SLP1 = sanscript.SLP1


# Path: tests/generate_sandhi_pass_fail.py
import codecs
import os
import inspect
import logging
import re
import six
import json
from sanskrit_parser.lexical_analyzer.sandhi import Sandhi
from sanskrit_parser.base.sanskrit_base import SanskritObject, SLP1


    return splits, full


def load_reference_data_from_file(filename):
    sandhi_references = []
    basename = os.path.basename(filename)
    logger.debug("Processing tests from file %s", basename)
    with codecs.open(filename, "rb", 'utf-8') as f:
        for linenum, line in enumerate(f):
            line = line.strip()
            if line.startswith('#') or line == '':
                continue
            ref = SanskritObject(line).transcoded(SLP1)
            if "=>" in line:
                joined, splits = map(six.text_type.strip, ref.split("=>"))
            elif "=" in line:
                splits, joined = map(six.text_type.strip, ref.split("="))
            else:
                continue
            split = list(map(six.text_type.strip, splits.split('+')))
            clean = clean_references(split, joined)
            if clean:
                split, joined = clean
                sandhi_references.append((tuple(split), joined, basename, linenum + 1))
    return sandhi_references


def to_devanagari(obj):
    if isinstance(obj, (six.text_type, six.string_types)):

        obj = SanskritObject(obj, encoding=SLP1)