
"""simple docstring"""


import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard






@pytest.mark.parametrize(
    'compression_format, is_archive'						,   [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ]						,   )
def    _snake_case					(		snake_case__ :  List[Any]						,   snake_case__ :  Union[str, Any]						,   snake_case__ :  int						,   snake_case__ :  Tuple						,   snake_case__ :  List[str]						,   snake_case__ :  List[str]						,   snake_case__ :  Optional[Any]						,   snake_case__ :  Union[str, Any]						,   snake_case__ :  Any						,   snake_case__ :  Dict						,   snake_case__ :  Tuple						,   snake_case__ :  Optional[int]						,   ):
	A     = {
	    '7z': (seven_zip_file, SevenZipExtractor),
	    'bz2': (bza_file, BzipaExtractor),
	    'gzip': (gz_file, GzipExtractor),
	    'lz4': (lza_file, LzaExtractor),
	    'tar': (tar_file, TarExtractor),
	    'xz': (xz_file, XzExtractor),
	    'zip': (zip_file, ZipExtractor),
	    'zstd': (zstd_file, ZstdExtractor),
	}
	A ,   A     = input_paths_and_base_extractors[compression_format]
	if input_path is None:
		A     = F'for \'{compression_format}\' compression_format, '
		if compression_format == "7z":
			reason += require_pyazr.kwargs["reason"]
		elif compression_format == "lz4":
			reason += require_lza.kwargs["reason"]
		elif compression_format == "zstd":
			reason += require_zstandard.kwargs["reason"]
		pytest.skip(snake_case__  )
	assert base_extractor.is_extractable(snake_case__  )
	A     = tmp_path / ('extracted' if is_archive else 'extracted.txt')
	base_extractor.extract(snake_case__						,   snake_case__  )
	if is_archive:
		assert output_path.is_dir()
		for file_path in output_path.iterdir():
			assert file_path.name == text_file.name
			A     = file_path.read_text(encoding='utf-8'  )
	else:
		A     = output_path.read_text(encoding='utf-8'  )
	A     = text_file.read_text(encoding='utf-8'  )
	assert extracted_file_content == expected_file_content






@pytest.mark.parametrize(
    'compression_format, is_archive'						,   [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ]						,   )
def    _snake_case					(		snake_case__ :  List[str]						,   snake_case__ :  Optional[int]						,   snake_case__ :  List[Any]						,   snake_case__ :  Optional[int]						,   snake_case__ :  int						,   snake_case__ :  Union[str, Any]						,   snake_case__ :  int						,   snake_case__ :  Union[str, Any]						,   snake_case__ :  Optional[int]						,   snake_case__ :  Optional[Any]						,   snake_case__ :  str						,   snake_case__ :  List[Any]						,   ):
	A     = {
	    '7z': seven_zip_file,
	    'bz2': bza_file,
	    'gzip': gz_file,
	    'lz4': lza_file,
	    'tar': tar_file,
	    'xz': xz_file,
	    'zip': zip_file,
	    'zstd': zstd_file,
	}
	A     = input_paths[compression_format]
	if input_path is None:
		A     = F'for \'{compression_format}\' compression_format, '
		if compression_format == "7z":
			reason += require_pyazr.kwargs["reason"]
		elif compression_format == "lz4":
			reason += require_lza.kwargs["reason"]
		elif compression_format == "zstd":
			reason += require_zstandard.kwargs["reason"]
		pytest.skip(snake_case__  )
	A     = Extractor.infer_extractor_format(snake_case__  )
	assert extractor_format is not None
	A     = tmp_path / ('extracted' if is_archive else 'extracted.txt')
	Extractor.extract(snake_case__						,   snake_case__						,   snake_case__  )
	if is_archive:
		assert output_path.is_dir()
		for file_path in output_path.iterdir():
			assert file_path.name == text_file.name
			A     = file_path.read_text(encoding='utf-8'  )
	else:
		A     = output_path.read_text(encoding='utf-8'  )
	A     = text_file.read_text(encoding='utf-8'  )
	assert extracted_file_content == expected_file_content






@pytest.fixture
def    _snake_case					(		snake_case__ :  List[str]						,   snake_case__ :  Dict  ):
	import tarfile

	A     = tmp_path / 'data_dot_dot'
	directory.mkdir()
	A     = directory / 'tar_file_with_dot_dot.tar'
	with tarfile.TarFile(snake_case__						,   'w'  ) as f:
		f.add(snake_case__						,   arcname=os.path.join('..'						,   text_file.name  )  )
	return path






@pytest.fixture
def    _snake_case					(		snake_case__ :  List[str]  ):
	import tarfile

	A     = tmp_path / 'data_sym_link'
	directory.mkdir()
	A     = directory / 'tar_file_with_sym_link.tar'
	os.symlink('..'						,   directory / 'subdir'						,   target_is_directory=snake_case__  )
	with tarfile.TarFile(snake_case__						,   'w'  ) as f:
		f.add(str(directory / 'subdir'  )						,   arcname='subdir'  )  # str required by os.readlink on Windows and Python < 3.8
	return path






@pytest.mark.parametrize(
    'insecure_tar_file, error_log'						,   [('tar_file_with_dot_dot', 'illegal path'), ('tar_file_with_sym_link', 'Symlink')]						,   )
def    _snake_case					(		snake_case__ :  str						,   snake_case__ :  int						,   snake_case__ :  Tuple						,   snake_case__ :  List[str]						,   snake_case__ :  Any						,   snake_case__ :  str  ):
	A     = {
	    'tar_file_with_dot_dot': tar_file_with_dot_dot,
	    'tar_file_with_sym_link': tar_file_with_sym_link,
	}
	A     = insecure_tar_files[insecure_tar_file]
	A     = tmp_path / 'extracted'
	TarExtractor.extract(snake_case__						,   snake_case__  )
	assert caplog.text
	for record in caplog.records:
		assert record.levelname == "ERROR"
		assert error_log in record.msg






def    _snake_case					(		snake_case__ :  Dict  ):
	# We should have less false positives than zipfile.is_zipfile
	# We do that by checking only the magic number
	A     = tmpdir / 'not_a_zip_file'
	# From: https://github.com/python/cpython/pull/5053
	A     = (
	    B'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00'
	    B'\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6\'\x00\x00\x00\x15I'
	    B'DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07'
	    B'\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82'
	)
	with not_a_zip_file.open('wb'  ) as f:
		f.write(snake_case__  )
	assert zipfile.is_zipfile(str(snake_case__  )  )  # is a false positive for `zipfile`
	assert not ZipExtractor.is_extractable(snake_case__  )  # but we're right




import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

lowerCamelCase		       =      logging.get_logger(__name__)


lowerCamelCase		       =      {name: getattr(transformers, name + """Fast""") for name in SLOW_TO_FAST_CONVERTERS}






def     SCREAMING_SNAKE_CASE(      __UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase	,				__UpperCamelCase )	->						Dict:
				if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
								raise ValueError(F'Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys() )}.' )

				if tokenizer_name is None:
								a__	:							str      						= TOKENIZER_CLASSES
				else:
								a__	:							int      						= {tokenizer_name: getattr(__UpperCamelCase	,				tokenizer_name + "Fast" )}

				logger.info(F'Loading tokenizer classes: {tokenizer_names}' )

				for tokenizer_name in tokenizer_names:
								a__	:							Any      						= TOKENIZER_CLASSES[tokenizer_name]

								a__	:							Dict      						= True
								if checkpoint_name is None:
												a__	:							Tuple      						= list(tokenizer_class.max_model_input_sizes.keys() )
								else:
												a__	:							List[str]      						= [checkpoint_name]

								logger.info(F'For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}' )

								for checkpoint in checkpoint_names:
												logger.info(F'Loading {tokenizer_class.__class__.__name__} {checkpoint}' )

												# Load tokenizer
												a__	:							List[str]      						= tokenizer_class.from_pretrained(__UpperCamelCase	,				force_download=__UpperCamelCase )

												# Save fast tokenizer
												logger.info(F'Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}' )

												# For organization names we create sub-directories
												if "/" in checkpoint:
																a__						,   a__	:							Dict      						= checkpoint.split("/" )
																a__	:							Any      						= os.path.join(__UpperCamelCase	,				__UpperCamelCase )
												elif add_prefix:
																a__	:							int      						= checkpoint
																a__	:							Optional[Any]      						= dump_path
												else:
																a__	:							Dict      						= None
																a__	:							Optional[Any]      						= dump_path

												logger.info(F'=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}' )

												if checkpoint in list(tokenizer.pretrained_vocab_files_map.values() )[0]:
																a__	:							Dict      						= list(tokenizer.pretrained_vocab_files_map.values() )[0][checkpoint]
																a__	:							Optional[Any]      						= file_path.split(__UpperCamelCase )[-1][0]
																if next_char == "/":
																				a__	:							Union[str, Any]      						= os.path.join(__UpperCamelCase	,				__UpperCamelCase )
																				a__	:							Any      						= None

																logger.info(F'=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}' )

												a__	:							Any      						= tokenizer.save_pretrained(
												    __UpperCamelCase	,				legacy_format=__UpperCamelCase	,				filename_prefix=__UpperCamelCase )
												logger.info(F'=> File names {file_names}' )

												for file_name in file_names:
																if not file_name.endswith("tokenizer.json" ):
																				os.remove(__UpperCamelCase )
																				logger.info(F'=> removing {file_name}' )


if __name__ == "__main__":
						lowerCamelCase		       =      argparse.ArgumentParser()
						# Required parameters
						parser.add_argument(
						    """--dump_path""", default=None, type=str, required=True, help="""Path to output generated fast tokenizer files."""
						)
						parser.add_argument(
						    """--tokenizer_name""",
						    default=None,
						    type=str,
						    help=(
						        F'Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will '
						        """download and convert all the checkpoints from AWS."""
						    ),
						)
						parser.add_argument(
						    """--checkpoint_name""",
						    default=None,
						    type=str,
						    help="""Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.""",
						)
						parser.add_argument(
						    """--force_download""",
						    action="""store_true""",
						    help="""Re-download checkpoints.""",
						)
						lowerCamelCase		       =      parser.parse_args()

						convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)


