<commit_before># -*- coding: utf-8 -*-
"""
@author: <NAME> (github: @kmadathil)

"""
from os.path import dirname, basename, splitext, join
from argparse import ArgumentParser
import logging
from sanskrit_parser import Parser
from indic_transliteration.sanscript import SCHEMES
from sanskrit_parser.base.sanskrit_base import SanskritNormalizedString
from sanskrit_parser.base.sanskrit_base import outputctx
from sanskrit_parser.parser.sandhi_analyzer import LexicalSandhiAnalyzer
from sanskrit_parser import enable_file_logger, enable_console_logger
import csv

logger = logging.getLogger(__name__)


def getVakyaArgs(argv=None):
    """
      Argparse routine.
      Returns args variable
    """
    # Parser Setup
    parser = ArgumentParser(description='Vakya Analyzer')
    # String to encode
    parser.add_argument('data', nargs="?", type=str, default="astyuttarasyAMdishidevatAtmA")
    # Input Encoding (autodetect by default)
    parser.add_argument('--input-encoding', type=str, default=None)
    # Need a lakara
    parser.add_argument('--need-lakara', action='store_true')
    parser.add_argument('--max-paths', type=int, default=1)
    parser.add_argument('--split-above', type=int, default=5)
    parser.add_argument('--lexical-lookup', type=str, default="combined")
    parser.add_argument('--pre-segmented', action='store_true',
                        help="Expect pre-segmented space separated string (Usually for test only)")
    parser.add_argument('--strict-io', action='store_true',
                        help="Do not modify the input/output string to match conventions", default=False)
    parser.add_argument('--score', dest="score", action='store_true',
                        help="Use the lexical scorer to score the splits and reorder them")
    parser.add_argument('--slow-merge', dest='fast_merge', action='store_false', help="Development Only: use if you see issues in divide and conquer")
    parser.add_argument('--dot-file', type=str, default=None, help='Dotfile')
    parser.add_argument('--conll', action="store_true", help="display CONLL")
    parser.add_argument('--conll-file', type=str, default=None, help='CONLL output file')
    parser.add_argument('--conll-append', action="store_true", help="append to CONLL file rather than recreate")
    parser.add_argument('--min-cost', action="store_true", help="Only return min-cost parses")
    return parser.parse_args(argv)


def vakya(argv=None):
    args = getVakyaArgs(argv)
    if args.strict_io:
        print("Interpreting input strictly")
    else:
        print("Interpreting input loosely (strict_io set to false)")
    logger.info(f"Input String: {args.data}")
    parser = Parser(input_encoding=args.input_encoding,
                    strict_io=args.strict_io,
                    output_encoding="SLP1",
                    replace_ending_visarga=None,
                    score=args.score,
                    split_above=args.split_above,
                    lexical_lookup=args.lexical_lookup)
    logger.debug('Splits:')
    try:
        for si, split in enumerate(parser.split(args.data,
                                                limit=args.max_paths,
                                                dot_file=args.dot_file,
                                                pre_segmented=args.pre_segmented)):
            logger.info(f'Sandhi Split: {split}')
            logger.info(f'Min cost only {args.min_cost}')
            try:
                for pi, parse in enumerate(split.parse(limit=999,
                                                       min_cost_only=args.min_cost)):
                    logger.debug(f'Parse {pi}')
                    logger.debug(f'{parse}')
                    print(f'Parse {pi} : (Cost = {parse.cost})')
                    if args.conll:
                        for line in parse.to_conll():
                            print(line)
                    else:
                        print(f'{parse}')
                    if args.conll_file is not None:
                        path = args.conll_file
                        d = dirname(path)
                        be = basename(path)
                        b, e = splitext(be)
                        conllbase = join(d, b + f"_split{si}_parse{pi}" + e)
                        if args.conll_append:
                            tfile = open(conllbase, "a")
                        else:
                            tfile = open(conllbase, "w")
                        twriter = csv.writer(tfile, delimiter='\t')
                        for line in parse.to_conll():
                            twriter.writerow(line)
                        twriter.writerow([])
                        tfile.close()
            except TypeError:
                logger.info('Parse: No Parses Found')

            # Write dot files
            if args.dot_file is not None:
                path = args.dot_file
                d = dirname(path)
                be = basename(path)
                b, e = splitext(be)
                splitbase = join(d, b + f"_split{si}" + e)
                split.write_dot(splitbase)
    except TypeError:
        logger.info('Split: No Splits Found')

    return None


def getSandhiArgs(argv=None):
    """
      Argparse routine.
      Returns args variable
    """
    # Parser Setup
    parser = ArgumentParser(description='Sandhi Analyzer')
    # String to encode
    parser.add_argument('data', nargs="?", type=str, default="astyuttarasyAMdishidevatAtmA")
    # Input Encoding (autodetect by default)
    parser.add_argument('--input-encoding', type=str, default=None)
    parser.add_argument('--max-paths', type=int, default=10)
    parser.add_argument('--lexical-lookup', type=str, default="combined")
    parser.add_argument('--pre-segmented', action='store_true',
                        help="Expect pre-segmented space separated string (Usually for test only)")
    parser.add_argument('--strict-io', action='store_true',
                        help="Do not modify the input/output string to match conventions", default=False)
    parser.add_argument('--no-score', dest="score", action='store_false',
                        help="Use the lexical scorer to score the splits and reorder them")
    parser.add_argument('--dot-file', type=str, default=None, help='Dotfile')
    return parser.parse_args(argv)


def sandhi(argv=None):
    args = getSandhiArgs(argv)
    if args.strict_io:
        print("Interpreting input strictly")
    else:
        print("Interpreting input loosely (strict_io set to false)")
    logger.info(f"Input String: {args.data}")
    parser = Parser(input_encoding=args.input_encoding,
                    strict_io=args.strict_io,
                    output_encoding="SLP1",
                    replace_ending_visarga=None,
                    score=args.score,
                    lexical_lookup=args.lexical_lookup)
    logger.debug('Splits:')
    try:
        for si, split in enumerate(parser.split(args.data,
                                                limit=args.max_paths,
                                                dot_file=args.dot_file,
                                                pre_segmented=args.pre_segmented)):
            logger.info(f'Split: {split}')
    except TypeError:
        logger.info('Split: No Splits Found')

    return None


def getTagsArgs(argv=None):
    """
      Argparse routine.<commit_msg>Fixed encoding to use sanscript variables.<commit_after># -*- coding: utf-8 -*-
"""
@author: <NAME> (github: @kmadathil)

"""
from os.path import dirname, basename, splitext, join
from argparse import ArgumentParser
import logging
from sanskrit_parser import Parser
from indic_transliteration import sanscript
from sanskrit_parser.base.sanskrit_base import SanskritNormalizedString
from sanskrit_parser.base.sanskrit_base import outputctx
from sanskrit_parser.parser.sandhi_analyzer import LexicalSandhiAnalyzer
from sanskrit_parser import enable_file_logger, enable_console_logger
import csv

logger = logging.getLogger(__name__)


def getVakyaArgs(argv=None):
    """
      Argparse routine.
      Returns args variable
    """
    # Parser Setup
    parser = ArgumentParser(description='Vakya Analyzer')
    # String to encode
    parser.add_argument('data', nargs="?", type=str, default="astyuttarasyAMdishidevatAtmA")
    # Input Encoding (autodetect by default)
    parser.add_argument('--input-encoding', type=str, default=None)
    # Need a lakara
    parser.add_argument('--need-lakara', action='store_true')
    parser.add_argument('--max-paths', type=int, default=1)
    parser.add_argument('--split-above', type=int, default=5)
    parser.add_argument('--lexical-lookup', type=str, default="combined")
    parser.add_argument('--pre-segmented', action='store_true',
                        help="Expect pre-segmented space separated string (Usually for test only)")
    parser.add_argument('--strict-io', action='store_true',
                        help="Do not modify the input/output string to match conventions", default=False)
    parser.add_argument('--score', dest="score", action='store_true',
                        help="Use the lexical scorer to score the splits and reorder them")
    parser.add_argument('--slow-merge', dest='fast_merge', action='store_false', help="Development Only: use if you see issues in divide and conquer")
    parser.add_argument('--dot-file', type=str, default=None, help='Dotfile')
    parser.add_argument('--conll', action="store_true", help="display CONLL")
    parser.add_argument('--conll-file', type=str, default=None, help='CONLL output file')
    parser.add_argument('--conll-append', action="store_true", help="append to CONLL file rather than recreate")
    parser.add_argument('--min-cost', action="store_true", help="Only return min-cost parses")
    return parser.parse_args(argv)


def vakya(argv=None):
    args = getVakyaArgs(argv)
    if args.strict_io:
        print("Interpreting input strictly")
    else:
        print("Interpreting input loosely (strict_io set to false)")
    logger.info(f"Input String: {args.data}")
    parser = Parser(input_encoding=args.input_encoding,
                    strict_io=args.strict_io,
                    output_encoding=sanscript.SLP1,
                    replace_ending_visarga=None,
                    score=args.score,
                    split_above=args.split_above,
                    lexical_lookup=args.lexical_lookup)
    logger.debug('Splits:')
    try:
        for si, split in enumerate(parser.split(args.data,
                                                limit=args.max_paths,
                                                dot_file=args.dot_file,
                                                pre_segmented=args.pre_segmented)):
            logger.info(f'Sandhi Split: {split}')
            logger.info(f'Min cost only {args.min_cost}')
            try:
                for pi, parse in enumerate(split.parse(limit=999,
                                                       min_cost_only=args.min_cost)):
                    logger.debug(f'Parse {pi}')
                    logger.debug(f'{parse}')
                    print(f'Parse {pi} : (Cost = {parse.cost})')
                    if args.conll:
                        for line in parse.to_conll():
                            print(line)
                    else:
                        print(f'{parse}')
                    if args.conll_file is not None:
                        path = args.conll_file
                        d = dirname(path)
                        be = basename(path)
                        b, e = splitext(be)
                        conllbase = join(d, b + f"_split{si}_parse{pi}" + e)
                        if args.conll_append:
                            tfile = open(conllbase, "a")
                        else:
                            tfile = open(conllbase, "w")
                        twriter = csv.writer(tfile, delimiter='\t')
                        for line in parse.to_conll():
                            twriter.writerow(line)
                        twriter.writerow([])
                        tfile.close()
            except TypeError:
                logger.info('Parse: No Parses Found')

            # Write dot files
            if args.dot_file is not None:
                path = args.dot_file
                d = dirname(path)
                be = basename(path)
                b, e = splitext(be)
                splitbase = join(d, b + f"_split{si}" + e)
                split.write_dot(splitbase)
    except TypeError:
        logger.info('Split: No Splits Found')

    return None


def getSandhiArgs(argv=None):
    """
      Argparse routine.
      Returns args variable
    """
    # Parser Setup
    parser = ArgumentParser(description='Sandhi Analyzer')
    # String to encode
    parser.add_argument('data', nargs="?", type=str, default="astyuttarasyAMdishidevatAtmA")
    # Input Encoding (autodetect by default)
    parser.add_argument('--input-encoding', type=str, default=None)
    parser.add_argument('--max-paths', type=int, default=10)
    parser.add_argument('--lexical-lookup', type=str, default="combined")
    parser.add_argument('--pre-segmented', action='store_true',
                        help="Expect pre-segmented space separated string (Usually for test only)")
    parser.add_argument('--strict-io', action='store_true',
                        help="Do not modify the input/output string to match conventions", default=False)
    parser.add_argument('--no-score', dest="score", action='store_false',
                        help="Use the lexical scorer to score the splits and reorder them")
    parser.add_argument('--dot-file', type=str, default=None, help='Dotfile')
    return parser.parse_args(argv)


def sandhi(argv=None):
    args = getSandhiArgs(argv)
    if args.strict_io:
        print("Interpreting input strictly")
    else:
        print("Interpreting input loosely (strict_io set to false)")
    logger.info(f"Input String: {args.data}")
    parser = Parser(input_encoding=args.input_encoding,
                    strict_io=args.strict_io,
                    output_encoding=sanscript.SLP1,
                    replace_ending_visarga=None,
                    score=args.score,
                    lexical_lookup=args.lexical_lookup)
    logger.debug('Splits:')
    try:
        for si, split in enumerate(parser.split(args.data,
                                                limit=args.max_paths,
                                                dot_file=args.dot_file,
                                                pre_segmented=args.pre_segmented)):
            logger.info(f'Split: {split}')
    except TypeError:
        logger.info('Split: No Splits Found')

    return None


def getTagsArgs(argv=None):
    """
      Argparse routine.
{'fraction_non_alphanumeric': 0.10845402492421691, 'fraction_numerical': 0.0013472549680026945, 'mean_word_length': 2.031033074724377, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 30, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6616878', 'n_tokens_mistral': 4210, 'n_tokens_neox': 3995, 'n_words': 888}