



import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing






class SCREAMING_SNAKE_CASE__					(		lowerCamelCase__   ):




    '''simple docstring'''






    def __init__(	self,		lowerCamelCase__ = "▁",		lowerCamelCase__ = True,		lowerCamelCase__ = "<unk>",		lowerCamelCase__ = "</s>",		lowerCamelCase__ = "<pad>",		):
        A			:	str										=       {
            '''pad''': {'''id''': 0, '''token''': pad_token},
            '''eos''': {'''id''': 1, '''token''': eos_token},
            '''unk''': {'''id''': 2, '''token''': unk_token},
        }

        A			:	str										=       [None] * len(self.special_tokens		)
        for token_dict in self.special_tokens.values():
            A			:	List[str]										=       token_dict['''token''']

        A			:	str										=       Tokenizer(Unigram()		)

        A			:	Any										=       normalizers.Sequence(
            [
                normalizers.Nmt(),
                normalizers.NFKC(),
                normalizers.Replace(Regex(""" {2,}"""		),		""" """		),
                normalizers.Lowercase(),
            ]		)
        A			:	List[Any]										=       pre_tokenizers.Sequence(
            [
                pre_tokenizers.Metaspace(replacement=__lowerCamelCase,		add_prefix_space=__lowerCamelCase		),
                pre_tokenizers.Digits(individual_digits=__lowerCamelCase		),
                pre_tokenizers.Punctuation(),
            ]		)
        A			:	List[str]										=       decoders.Metaspace(replacement=__lowerCamelCase,		add_prefix_space=__lowerCamelCase		)

        A			:	List[Any]										=       TemplateProcessing(
            single=f'''$A {self.special_tokens["eos"]["token"]}''',		special_tokens=[(self.special_tokens["""eos"""]["""token"""], self.special_tokens["""eos"""]["""id"""])],		)

        A			:	Any										=       {
            '''model''': '''SentencePieceUnigram''',
            '''replacement''': replacement,
            '''add_prefix_space''': add_prefix_space,
        }

        super().__init__(__lowerCamelCase,		__lowerCamelCase		)






    def       _lowerCAmelCase (	self,		lowerCamelCase__,		lowerCamelCase__ = 8000,		lowerCamelCase__ = True,		):
        A			:	Tuple										=       trainers.UnigramTrainer(
            vocab_size=__lowerCamelCase,		special_tokens=self.special_tokens_list,		show_progress=__lowerCamelCase,		)

        if isinstance(__lowerCamelCase,		__lowerCamelCase		):
            A			:	int										=       [files]
        self._tokenizer.train(__lowerCamelCase,		trainer=__lowerCamelCase		)

        self.add_unk_id()






    def       _lowerCAmelCase (	self,		lowerCamelCase__,		lowerCamelCase__ = 8000,		lowerCamelCase__ = True,		):
        A			:	str										=       trainers.UnigramTrainer(
            vocab_size=__lowerCamelCase,		special_tokens=self.special_tokens_list,		show_progress=__lowerCamelCase,		)

        self._tokenizer.train_from_iterator(__lowerCamelCase,		trainer=__lowerCamelCase		)

        self.add_unk_id()






    def       _lowerCAmelCase (	self		):
        A			:	Any										=       json.loads(self._tokenizer.to_str()		)

        A			:	int										=       self.special_tokens['''unk''']['''id''']

        A			:	Optional[Any]										=       Tokenizer.from_str(json.dumps(__lowerCamelCase		)		)







import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text




def      __UpperCamelCase     (  _lowerCAmelCase		)	->  str:



    """simple docstring"""






    A			:	int										=       []
    for line in lines:
        A			:	int										=       re.sub(R"""#.*"""				,					""""""				,					_lowerCAmelCase		)  # remove comments
        if line:
            filtered_lines.append(_lowerCAmelCase		)
    A			:	Tuple										=       """\n""".join(_lowerCAmelCase		)

    # Make a hash from all this code
    A			:	Union[str, Any]										=       full_str.encode("""utf-8"""		)
    return shaaaa(_lowerCAmelCase		).hexdigest()


# get importable module names and hash for caching
SCREAMING_SNAKE_CASE_:List[Any]					=						{
    """csv""": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    """json""": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    """pandas""": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    """parquet""": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    """arrow""": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    """text""": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    """imagefolder""": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    """audiofolder""": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
SCREAMING_SNAKE_CASE_:Optional[Any]					=						{
    """.csv""": ("""csv""", {}),
    """.tsv""": ("""csv""", {"""sep""": """\t"""}),
    """.json""": ("""json""", {}),
    """.jsonl""": ("""json""", {}),
    """.parquet""": ("""parquet""", {}),
    """.arrow""": ("""arrow""", {}),
    """.txt""": ("""text""", {}),
}
_EXTENSION_TO_MODULE.update({ext: ("""imagefolder""", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("""imagefolder""", {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ("""audiofolder""", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ("""audiofolder""", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
SCREAMING_SNAKE_CASE_:Optional[int]					=						{"""imagefolder""", """audiofolder"""}

# Used to filter data files based on extensions given a module name
SCREAMING_SNAKE_CASE_:Dict[str, List[str]]					=						{}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
     _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append(""".zip""")




_MODULE_TO_EXTENSIONS["audiofolder"].append(""".zip""")


