






'''simple docstring'''





import unittest

from transformers import EsmConfig, is_torch_available
from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
						import torch

						from transformers.models.esm.modeling_esmfold import EsmForProteinFolding


class       snake_case__	:




					def __init__(   self   :						List[Any]							,      _A   :						str							,      _A   :						Optional[Any]=13							,      _A   :						Optional[Any]=7							,      _A   :						List[str]=False							,      _A   :						str=True							,      _A   :						Dict=False							,      _A   :						Optional[int]=False							,      _A   :						Union[str, Any]=19							,      _A   :						List[str]=32							,      _A   :						List[str]=5							,      _A   :						str=4							,      _A   :						Optional[Any]=37							,      _A   :						Optional[int]="gelu"							,      _A   :						List[str]=0.1							,      _A   :						str=0.1							,      _A   :						str=5_12							,      _A   :						Union[str, Any]=16							,      _A   :						Optional[Any]=2							,      _A   :						List[Any]=0.02							,      _A   :						Optional[int]=3							,      _A   :						str=4							,      _A   :						Dict=None							,      )  ->				Dict:
								UpperCAmelCase_	:    Optional[int]	  =    parent
								UpperCAmelCase_	:    str	  =    batch_size
								UpperCAmelCase_	:    Optional[int]	  =    seq_length
								UpperCAmelCase_	:    Optional[Any]	  =    is_training
								UpperCAmelCase_	:    List[Any]	  =    use_input_mask
								UpperCAmelCase_	:    Dict	  =    use_token_type_ids
								UpperCAmelCase_	:    Tuple	  =    use_labels
								UpperCAmelCase_	:    List[Any]	  =    vocab_size
								UpperCAmelCase_	:    str	  =    hidden_size
								UpperCAmelCase_	:    str	  =    num_hidden_layers
								UpperCAmelCase_	:    Optional[int]	  =    num_attention_heads
								UpperCAmelCase_	:    Tuple	  =    intermediate_size
								UpperCAmelCase_	:    Any	  =    hidden_act
								UpperCAmelCase_	:    Optional[int]	  =    hidden_dropout_prob
								UpperCAmelCase_	:    List[str]	  =    attention_probs_dropout_prob
								UpperCAmelCase_	:    Union[str, Any]	  =    max_position_embeddings
								UpperCAmelCase_	:    List[Any]	  =    type_vocab_size
								UpperCAmelCase_	:    List[Any]	  =    type_sequence_label_size
								UpperCAmelCase_	:    List[str]	  =    initializer_range
								UpperCAmelCase_	:    int	  =    num_labels
								UpperCAmelCase_	:    Optional[int]	  =    num_choices
								UpperCAmelCase_	:    Optional[Any]	  =    scope




					def 						A	(   self   :						List[Any]	)  ->				Any:
								UpperCAmelCase_	:    Dict	  =    ids_tensor([self.batch_size, self.seq_length]							,      self.vocab_size	)

								UpperCAmelCase_	:    int	  =    None
								if self.use_input_mask:
											UpperCAmelCase_	:    int	  =    random_attention_mask([self.batch_size, self.seq_length]	)

								UpperCAmelCase_	:    Optional[int]	  =    None
								UpperCAmelCase_	:    str	  =    None
								UpperCAmelCase_	:    Optional[Any]	  =    None
								if self.use_labels:
											UpperCAmelCase_	:    Any	  =    ids_tensor([self.batch_size]							,      self.type_sequence_label_size	)
											UpperCAmelCase_	:    Optional[int]	  =    ids_tensor([self.batch_size, self.seq_length]							,      self.num_labels	)
											UpperCAmelCase_	:    Optional[int]	  =    ids_tensor([self.batch_size]							,      self.num_choices	)

								UpperCAmelCase_	:    int	  =    self.get_config()

								return config, input_ids, input_mask, sequence_labels, token_labels, choice_labels




					def 						A	(   self   :						Optional[int]	)  ->				Any:
								UpperCAmelCase_	:    str	  =    EsmConfig(
								    vocab_size=33							,      hidden_size=self.hidden_size							,      pad_token_id=1							,      num_hidden_layers=self.num_hidden_layers							,      num_attention_heads=self.num_attention_heads							,      intermediate_size=self.intermediate_size							,      hidden_act=self.hidden_act							,      hidden_dropout_prob=self.hidden_dropout_prob							,      attention_probs_dropout_prob=self.attention_probs_dropout_prob							,      max_position_embeddings=self.max_position_embeddings							,      type_vocab_size=self.type_vocab_size							,      initializer_range=self.initializer_range							,      is_folding_model=_A							,      esmfold_config={'''trunk''': {'''num_blocks''': 2}, '''fp16_esm''': False}							,      )
								return config




					def 						A	(   self   :						Any							,      _A   :						List[str]							,      _A   :						List[Any]							,      _A   :						str							,      _A   :						Optional[Any]							,      _A   :						List[Any]							,      _A   :						Optional[int]	)  ->				List[Any]:
								UpperCAmelCase_	:    Optional[int]	  =    EsmForProteinFolding(config=_A	).float()
								model.to(_A	)
								model.eval()
								UpperCAmelCase_	:    Any	  =    model(_A							,      attention_mask=_A	)
								UpperCAmelCase_	:    List[str]	  =    model(_A	)
								UpperCAmelCase_	:    str	  =    model(_A	)

								self.parent.assertEqual(result.positions.shape							,      (8, self.batch_size, self.seq_length, 14, 3)	)
								self.parent.assertEqual(result.angles.shape							,      (8, self.batch_size, self.seq_length, 7, 2)	)





					def 						A	(   self   :						str	)  ->				Union[str, Any]:
								UpperCAmelCase_	:    str	  =    self.prepare_config_and_inputs()
								(
								    UpperCAmelCase_    
								)	:    Union[str, Any]	  =    config_and_inputs
								UpperCAmelCase_	:    List[str]	  =    {"""input_ids""": input_ids, """attention_mask""": input_mask}
								return config, inputs_dict






@require_torch
class       snake_case__	( __SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE			,							unittest.TestCase):
					a_								= False

					a_								= (EsmForProteinFolding,) if is_torch_available() else ()
					a_								= ()
					a_								= {} if is_torch_available() else {}
					a_								= False




					def 						A	(   self   :						Dict	)  ->				str:
								UpperCAmelCase_	:    str	  =    EsmFoldModelTester(self	)
								UpperCAmelCase_	:    List[Any]	  =    ConfigTester(self							,      config_class=_A							,      hidden_size=37	)




					def 						A	(   self   :						Optional[Any]	)  ->				Dict:
								self.config_tester.run_common_tests()




					def 						A	(   self   :						List[Any]	)  ->				Any:
								UpperCAmelCase_	:    str	  =    self.model_tester.prepare_config_and_inputs()
								self.model_tester.create_and_check_model(*_A	)




					@unittest.skip('''Does not support attention outputs'''	)
					def 						A	(   self   :						int	)  ->				str:
								pass




					@unittest.skip
					def 						A	(   self   :						Tuple	)  ->				Union[str, Any]:
								pass




					@unittest.skip('''Esm does not support embedding resizing'''	)
					def 						A	(   self   :						List[Any]	)  ->				List[Any]:
								pass




					@unittest.skip('''Esm does not support embedding resizing'''	)
					def 						A	(   self   :						int	)  ->				str:
								pass




					@unittest.skip('''ESMFold does not support passing input embeds!'''	)
					def 						A	(   self   :						Union[str, Any]	)  ->				Optional[Any]:
								pass




					@unittest.skip('''ESMFold does not support head pruning.'''	)
					def 						A	(   self   :						Tuple	)  ->				Tuple:
								pass




					@unittest.skip('''ESMFold does not support head pruning.'''	)
					def 						A	(   self   :						Optional[Any]	)  ->				List[str]:
								pass




					@unittest.skip('''ESMFold does not support head pruning.'''	)
					def 						A	(   self   :						List[Any]	)  ->				Optional[Any]:
								pass




					@unittest.skip('''ESMFold does not support head pruning.'''	)
					def 						A	(   self   :						Optional[int]	)  ->				Dict:
								pass




					@unittest.skip('''ESMFold does not support head pruning.'''	)
					def 						A	(   self   :						Optional[Any]	)  ->				List[Any]:
								pass




					@unittest.skip('''ESMFold does not output hidden states in the normal way.'''	)
					def 						A	(   self   :						Optional[Any]	)  ->				List[str]:
								pass




					@unittest.skip('''ESMfold does not output hidden states in the normal way.'''	)
					def 						A	(   self   :						str	)  ->				Any:
								pass




					@unittest.skip('''ESMFold only has one output format.'''	)
					def 						A	(   self   :						Optional[Any]	)  ->				Optional[Any]:
								pass




					@unittest.skip('''This test doesn\'t work for ESMFold and doesn\'t test core functionality'''	)
					def 						A	(   self   :						List[Any]	)  ->				Optional[int]:
								pass




					@unittest.skip('''ESMFold does not support input chunking.'''	)
					def 						A	(   self   :						Union[str, Any]	)  ->				int:
								pass




					@unittest.skip('''ESMFold doesn\'t respect you and it certainly doesn\'t respect your initialization arguments.'''	)
					def 						A	(   self   :						List[Any]	)  ->				List[str]:
								pass




					@unittest.skip('''ESMFold doesn\'t support torchscript compilation.'''	)
					def 						A	(   self   :						int	)  ->				List[str]:
								pass




					@unittest.skip('''ESMFold doesn\'t support torchscript compilation.'''	)
					def 						A	(   self   :						Tuple	)  ->				str:
								pass




					@unittest.skip('''ESMFold doesn\'t support torchscript compilation.'''	)
					def 						A	(   self   :						List[str]	)  ->				Optional[int]:
								pass




					@unittest.skip('''ESMFold doesn\'t support data parallel.'''	)
					def 						A	(   self   :						str	)  ->				List[str]:
								pass





					@unittest.skip('''Will be fixed soon by reducing the size of the model used for common tests.'''	)
					def 						A	(   self   :						Tuple	)  ->				int:
								pass






@require_torch
class       snake_case__	( __SCREAMING_SNAKE_CASE):




					@slow
					def 						A	(   self   :						Dict	)  ->				Optional[int]:
								UpperCAmelCase_	:    List[Any]	  =    EsmForProteinFolding.from_pretrained('''facebook/esmfold_v1'''	).float()
								model.eval()
								UpperCAmelCase_	:    List[str]	  =    torch.tensor([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]]	)
								UpperCAmelCase_	:    List[Any]	  =    model(_A	)["""positions"""]
								UpperCAmelCase_	:    Tuple	  =    torch.tensor([2.5_828, 0.7_993, -10.9_334]							,      dtype=torch.floataa	)
								self.assertTrue(torch.allclose(position_outputs[0, 0, 0, 0]							,      _A							,      atol=1e-4	)	)




import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


_lowerCamelCase					   =get_logger(__name__)





class 							A__		:
      def __init__(      self    ,  __magic_name__ = None      ):
       lowerCamelCase		:	Dict							=      (
           os.path.join(__magic_name__    ,  config.EXTRACTED_DATASETS_DIR      ) if cache_dir else config.EXTRACTED_DATASETS_PATH
       )
       lowerCamelCase		:	List[str]							=      Extractor
      def 						UpperCamelCase__							(      self    ,  __magic_name__      ):
       from .file_utils import hash_url_to_filename

       # Path where we extract compressed archives
       # We extract in the cache dir, and get the extracted path name by hashing the original path"
       lowerCamelCase		:	int							=      os.path.abspath(__magic_name__      )
       return os.path.join(self.extract_dir    ,  hash_url_to_filename(__magic_name__      )      )
      def 						UpperCamelCase__							(      self    ,  __magic_name__    ,  __magic_name__      ):
       return force_extract or (
           not os.path.isfile(__magic_name__      ) and not (os.path.isdir(__magic_name__      ) and os.listdir(__magic_name__      ))
       )






      def 						UpperCamelCase__							(      self    ,  __magic_name__    ,  __magic_name__ = False      ):
       lowerCamelCase		:	Union[str, Any]							=      self.extractor.infer_extractor_format(__magic_name__      )
       if not extractor_format:
        return input_path
       lowerCamelCase		:	int							=      self._get_output_path(__magic_name__      )
       if self._do_extract(__magic_name__    ,  __magic_name__      ):
        self.extractor.extract(__magic_name__    ,  __magic_name__    ,  __magic_name__      )
       return output_path





class 							A__		(	__SCREAMING_SNAKE_CASE):
      @classmethod
      @abstractmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  **__magic_name__      ):
       ...






      @staticmethod
      @abstractmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       ...





class 							A__		(	__SCREAMING_SNAKE_CASE  ,   __SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    List[bytes]           =			[]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       with open(__magic_name__    ,  """rb"""      ) as f:
        return f.read(__magic_name__      )






      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  __magic_name__ = b""      ):
       if not magic_number:
        lowerCamelCase		:	Optional[Any]							=      max(len(__magic_name__      ) for cls_magic_number in cls.magic_numbers      )
        try:
         lowerCamelCase		:	Tuple							=      cls.read_magic_number(__magic_name__    ,  __magic_name__      )
        except OSError:
         return False
       return any(magic_number.startswith(__magic_name__      ) for cls_magic_number in cls.magic_numbers      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  **__magic_name__      ):
       return tarfile.is_tarfile(__magic_name__      )
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):

       def resolved(__magic_name__      ) -> str:
        return os.path.realpath(os.path.abspath(__magic_name__      )      )

       def badpath(__magic_name__    ,  __magic_name__      ) -> bool:
        # joinpath will ignore base if path is absolute
        return not resolved(os.path.join(__magic_name__    ,  __magic_name__      )      ).startswith(__magic_name__      )

       def badlink(__magic_name__    ,  __magic_name__      ) -> bool:
        # Links are interpreted relative to the directory containing the link
        lowerCamelCase		:	List[str]							=      resolved(os.path.join(__magic_name__    ,  os.path.dirname(info.name      )      )      )
        return badpath(info.linkname    ,  base=__magic_name__      )

       lowerCamelCase		:	Optional[Any]							=      resolved(__magic_name__      )

       for finfo in members:
        if badpath(finfo.name    ,  __magic_name__      ):
         logger.error(F'''Extraction of {finfo.name} is blocked (illegal path)'''      )
        elif finfo.issym() and badlink(__magic_name__    ,  __magic_name__      ):
         logger.error(F'''Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}'''      )
        elif finfo.islnk() and badlink(__magic_name__    ,  __magic_name__      ):
         logger.error(F'''Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}'''      )
        else:
         yield finfo






      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       os.makedirs(__magic_name__    ,  exist_ok=__magic_name__      )
       lowerCamelCase		:	Dict							=      tarfile.open(__magic_name__      )
       tar_file.extractall(__magic_name__    ,  members=TarExtractor.safemembers(__magic_name__    ,  __magic_name__      )      )
       tar_file.close()





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    str           =			[B"""\x1F\x8B"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       with gzip.open(__magic_name__    ,  """rb"""      ) as gzip_file:
        with open(__magic_name__    ,  """wb"""      ) as extracted_file:
         shutil.copyfileobj(__magic_name__    ,  __magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Optional[int]           =			[
          B"""PK\x03\x04""",
          B"""PK\x05\x06""",  # empty archive
          B"""PK\x07\x08""",  # spanned archive
      ]
      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  __magic_name__ = b""      ):
       if super().is_extractable(__magic_name__    ,  magic_number=__magic_name__      ):
        return True
       try:
        # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
        # From: https://github.com/python/cpython/pull/5053
        from zipfile import (
            _CD_SIGNATURE,
            _ECD_DISK_NUMBER,
            _ECD_DISK_START,
            _ECD_ENTRIES_TOTAL,
            _ECD_OFFSET,
            _ECD_SIZE,
            _EndRecData,
            sizeCentralDir,
            stringCentralDir,
            structCentralDir,
        )

        with open(__magic_name__    ,  """rb"""      ) as fp:
         lowerCamelCase		:	List[str]							=      _EndRecData(__magic_name__      )
         if endrec:
          if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
           return True  # Empty zipfiles are still zipfiles
          elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
           fp.seek(endrec[_ECD_OFFSET]      )  # Central directory is on the same disk
           if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
            lowerCamelCase		:	List[Any]							=      fp.read(__magic_name__      )  # CD is where we expect it to be
            if len(__magic_name__      ) == sizeCentralDir:
             lowerCamelCase		:	str							=      struct.unpack(__magic_name__    ,  __magic_name__      )  # CD is the right size
             if centdir[_CD_SIGNATURE] == stringCentralDir:
              return True  # First central directory entry  has correct magic number
        return False
       except Exception:  # catch all errors in case future python versions change the zipfile internals
        return False






      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       os.makedirs(__magic_name__    ,  exist_ok=__magic_name__      )
       with zipfile.ZipFile(__magic_name__    ,  """r"""      ) as zip_file:
        zip_file.extractall(__magic_name__      )
        zip_file.close()





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    List[str]           =			[B"""\xFD\x37\x7A\x58\x5A\x00"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       with lzma.open(__magic_name__      ) as compressed_file:
        with open(__magic_name__    ,  """wb"""      ) as extracted_file:
         shutil.copyfileobj(__magic_name__    ,  __magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Any           =			[B"""Rar!\x1a\x07\x00""", B"""Rar!\x1a\x07\x01\x00"""]  # RAR_ID  # RAR5_ID
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       if not config.RARFILE_AVAILABLE:
        raise ImportError("""Please pip install rarfile"""      )
       import rarfile

       os.makedirs(__magic_name__    ,  exist_ok=__magic_name__      )
       lowerCamelCase		:	Union[str, Any]							=      rarfile.RarFile(__magic_name__      )
       rf.extractall(__magic_name__      )
       rf.close()





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Tuple           =			[B"""\x28\xb5\x2F\xFD"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       if not config.ZSTANDARD_AVAILABLE:
        raise ImportError("""Please pip install zstandard"""      )
       import zstandard as zstd

       lowerCamelCase		:	int							=      zstd.ZstdDecompressor()
       with open(__magic_name__    ,  """rb"""      ) as ifh, open(__magic_name__    ,  """wb"""      ) as ofh:
        dctx.copy_stream(__magic_name__    ,  __magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Any           =			[B"""\x42\x5A\x68"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       with bza.open(__magic_name__    ,  """rb"""      ) as compressed_file:
        with open(__magic_name__    ,  """wb"""      ) as extracted_file:
         shutil.copyfileobj(__magic_name__    ,  __magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    List[Any]           =			[B"""\x37\x7A\xBC\xAF\x27\x1C"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       if not config.PY7ZR_AVAILABLE:
        raise ImportError("""Please pip install py7zr"""      )
       import pyazr

       os.makedirs(__magic_name__    ,  exist_ok=__magic_name__      )
       with pyazr.SevenZipFile(__magic_name__    ,  """r"""      ) as archive:
        archive.extractall(__magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    List[Any]           =			[B"""\x04\x22\x4D\x18"""]
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       if not config.LZ4_AVAILABLE:
        raise ImportError("""Please pip install lz4"""      )
       import lza.frame

       with lza.frame.open(__magic_name__    ,  """rb"""      ) as compressed_file:
        with open(__magic_name__    ,  """wb"""      ) as extracted_file:
         shutil.copyfileobj(__magic_name__    ,  __magic_name__      )





class 							A__		:
      #  Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip)
      _UpperCAmelCase				:    Dict[str, Type[BaseExtractor]]           =			{
          "tar": TarExtractor,
          "gzip": GzipExtractor,
          "zip": ZipExtractor,
          "xz": XzExtractor,
          "rar": RarExtractor,
          "zstd": ZstdExtractor,
          "bz2": BzipaExtractor,
          "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
          "lz4": LzaExtractor,  # <Added version="2.4.0"/>
      }
      @classmethod
      def 						UpperCamelCase__							(      cls      ):
       return max(
           len(__magic_name__      )
           for extractor in cls.extractors.values()
           if issubclass(__magic_name__    ,  __magic_name__      )
           for extractor_magic_number in extractor.magic_numbers      )
      @staticmethod
      def 						UpperCamelCase__							(      __magic_name__    ,  __magic_name__      ):
       try:
        return MagicNumberBaseExtractor.read_magic_number(__magic_name__    ,  magic_number_length=__magic_name__      )
       except OSError:
        return b""
      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  __magic_name__ = False      ):
       warnings.warn(
           """Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
           """Use 'infer_extractor_format' instead."""    ,  category=__magic_name__    ,  )
       lowerCamelCase		:	int							=      cls.infer_extractor_format(__magic_name__      )
       if extractor_format:
        return True if not return_extractor else (True, cls.extractors[extractor_format])
       return False if not return_extractor else (False, None)
      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__      ):  # <Added version="2.4.0"/>
       lowerCamelCase		:	Dict							=      cls._get_magic_number_max_length()
       lowerCamelCase		:	Optional[Any]							=      cls._read_magic_number(__magic_name__    ,  __magic_name__      )
       for extractor_format, extractor in cls.extractors.items():
        if extractor.is_extractable(__magic_name__    ,  magic_number=__magic_name__      ):
         return extractor_format






      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  __magic_name__    ,  __magic_name__ = None    ,  __magic_name__ = "deprecated"    ,  ):
       os.makedirs(os.path.dirname(__magic_name__      )    ,  exist_ok=__magic_name__      )
       # Prevent parallel extractions
       lowerCamelCase		:	Tuple							=      str(Path(__magic_name__      ).with_suffix(""".lock"""      )      )
       with FileLock(__magic_name__      ):
        shutil.rmtree(__magic_name__    ,  ignore_errors=__magic_name__      )
        if extractor_format or extractor != "deprecated":
         if extractor != "deprecated" or not isinstance(__magic_name__    ,  __magic_name__      ):  # passed as positional arg
          warnings.warn(
              """Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
              """Use 'extractor_format' instead."""    ,  category=__magic_name__    ,  )
          lowerCamelCase		:	int							=      extractor if extractor != """deprecated""" else extractor_format
         else:
          lowerCamelCase		:	Optional[int]							=      cls.extractors[extractor_format]
         return extractor.extract(__magic_name__    ,  __magic_name__      )
        else:
         warnings.warn(
             """Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an """
             """exception in 3.0.0."""    ,  category=__magic_name__    ,  )
         for extractor in cls.extractors.values():
          if extractor.is_extractable(__magic_name__      ):
           return extractor.extract(__magic_name__    ,  __magic_name__      )




