





"""simple docstring"""




import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):


      def        a			(self	:				Dict    ,      a__	:				str				):





         """simple docstring"""



         with open(a__    ,      encoding='''utf-8'''				) as input_file:
            __snake_case								=       re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''				)
            __snake_case								=       input_file.read()
            __snake_case								=       regexp.search(a__				)

         return match


      def        a			(self	:				Union[str, Any]    ,      a__	:				str				):





         """simple docstring"""



         with open(a__    ,      encoding='''utf-8'''				) as input_file:
            __snake_case								=       re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''    ,      re.DOTALL				)
            __snake_case								=       input_file.read()
            # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
            __snake_case								=       regexp.finditer(a__				)

         __snake_case								=       [match for match in matches if match is not None and match.group(1				) is not None]
         return matches[0] if matches else None


      def        a			(self	:				List[str]				):





         """simple docstring"""



         __snake_case								=       Path('''./datasets'''				)
         __snake_case								=       list(dataset_paths.absolute().glob('''**/*.py'''				)				)

         for dataset in dataset_files:
            if self._no_encoding_on_file_open(str(a__				)				):
               raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}"""				)


      def        a			(self	:				Tuple				):





         """simple docstring"""



         __snake_case								=       Path('''./datasets'''				)
         __snake_case								=       list(dataset_paths.absolute().glob('''**/*.py'''				)				)

         for dataset in dataset_files:
            if self._no_print_statements(str(a__				)				):
               raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead."""				)








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


snake_case_           =      {}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_           =      ['NllbTokenizer']

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    snake_case_           =      ['NllbTokenizerFast']


if TYPE_CHECKING:
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_nllb import NllbTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_nllb_fast import NllbTokenizerFast

else:
    import sys

    snake_case_           =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

