


"""simple docstring"""



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


UpperCAmelCase      		=			get_logger(__name__)
class 					__magic_name__		:






       def __init__(   self  :    str  ,     snake_case__  :    Optional[str] = None				):

              '''simple docstring'''






              lowercase		:List[str]       							=				(
                  os.path.join(snake_case__  ,     config.EXTRACTED_DATASETS_DIR				) if cache_dir else config.EXTRACTED_DATASETS_PATH
              )
              lowercase		:str       							=				Extractor






       def  __snake_case						(   self  :    Optional[int]  ,     snake_case__  :    str				):

              '''simple docstring'''






              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"
              lowercase		:Optional[int]       							=				os.path.abspath(snake_case__				)
              return os.path.join(self.extract_dir  ,     hash_url_to_filename(snake_case__				)				)






       def  __snake_case						(   self  :    str  ,     snake_case__  :    str  ,     snake_case__  :    bool				):

              '''simple docstring'''






              return force_extract or (
                  not os.path.isfile(snake_case__				) and not (os.path.isdir(snake_case__				) and os.listdir(snake_case__				))
              )







       def  __snake_case						(   self  :    Tuple  ,     snake_case__  :    str  ,     snake_case__  :    bool = False				):

              '''simple docstring'''






              lowercase		:Dict       							=				self.extractor.infer_extractor_format(snake_case__				)
              if not extractor_format:
                     return input_path
              lowercase		:Dict       							=				self._get_output_path(snake_case__				)
              if self._do_extract(snake_case__  ,     snake_case__				):
                     self.extractor.extract(snake_case__  ,     snake_case__  ,     snake_case__				)
              return output_path







class 					__magic_name__		(			__UpperCAmelCase     ):






       @classmethod
       @abstractmethod
       def  __snake_case						(   cls  :    Optional[int]  ,     snake_case__  :    Union[Path, str]  ,     **snake_case__  :    int				):

              '''simple docstring'''






              ...







       @staticmethod
       @abstractmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              ...







class 					__magic_name__		(			__UpperCAmelCase			,						__UpperCAmelCase     ):
       __A			:      List[bytes]        =   []






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    int				):

              '''simple docstring'''






              with open(snake_case__  ,     '''rb'''				) as f:
                     return f.read(snake_case__				)







       @classmethod
       def  __snake_case						(   cls  :    int  ,     snake_case__  :    Union[Path, str]  ,     snake_case__  :    bytes = b""				):

              '''simple docstring'''






              if not magic_number:
                     lowercase		:Optional[Any]       							=				max(len(snake_case__				) for cls_magic_number in cls.magic_numbers				)
                     try:
                            lowercase		:Union[str, Any]       							=				cls.read_magic_number(snake_case__  ,     snake_case__				)
                     except OSError:
                            return False
              return any(magic_number.startswith(snake_case__				) for cls_magic_number in cls.magic_numbers				)







class 					__magic_name__		(			__UpperCAmelCase     ):






       @classmethod
       def  __snake_case						(   cls  :    int  ,     snake_case__  :    Union[Path, str]  ,     **snake_case__  :    List[str]				):

              '''simple docstring'''






              return tarfile.is_tarfile(snake_case__				)






       @staticmethod
       def  __snake_case						(   snake_case__  :    Any  ,     snake_case__  :    List[str]				):

              '''simple docstring'''






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

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

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

              lowercase		:Any       							=				resolved(snake_case__				)

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







       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              os.makedirs(snake_case__  ,     exist_ok=snake_case__				)
              lowercase		:List[str]       							=				tarfile.open(snake_case__				)
              tar_file.extractall(snake_case__  ,     members=TarExtractor.safemembers(snake_case__  ,     snake_case__				)				)
              tar_file.close()







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Union[str, Any]        =   [B"\x1F\x8B"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              with gzip.open(snake_case__  ,     '''rb'''				) as gzip_file:
                     with open(snake_case__  ,     '''wb'''				) as extracted_file:
                            shutil.copyfileobj(snake_case__  ,     snake_case__				)







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Tuple        =   [
           B"PK\x03\x04",
           B"PK\x05\x06",  # empty archive
           B"PK\x07\x08",  # spanned archive
       ]






       @classmethod
       def  __snake_case						(   cls  :    int  ,     snake_case__  :    Union[Path, str]  ,     snake_case__  :    bytes = b""				):

              '''simple docstring'''






              if super().is_extractable(snake_case__  ,     magic_number=snake_case__				):
                     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(snake_case__  ,     '''rb'''				) as fp:
                            lowercase		:str       							=				_EndRecData(snake_case__				)
                            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:
                                                 lowercase		:str       							=				fp.read(snake_case__				)  # CD is where we expect it to be
                                                 if len(snake_case__				) == sizeCentralDir:
                                                        lowercase		:Dict       							=				struct.unpack(snake_case__  ,     snake_case__				)  # 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  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              os.makedirs(snake_case__  ,     exist_ok=snake_case__				)
              with zipfile.ZipFile(snake_case__  ,     '''r'''				) as zip_file:
                     zip_file.extractall(snake_case__				)
                     zip_file.close()







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      List[str]        =   [B"\xFD\x37\x7A\x58\x5A\x00"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              with lzma.open(snake_case__				) as compressed_file:
                     with open(snake_case__  ,     '''wb'''				) as extracted_file:
                            shutil.copyfileobj(snake_case__  ,     snake_case__				)







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Optional[int]        =   [B"Rar!\x1a\x07\x00", B"Rar!\x1a\x07\x01\x00"]  # RAR_ID  # RAR5_ID






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              if not config.RARFILE_AVAILABLE:
                     raise ImportError('''Please pip install rarfile'''				)
              import rarfile

              os.makedirs(snake_case__  ,     exist_ok=snake_case__				)
              lowercase		:Optional[int]       							=				rarfile.RarFile(snake_case__				)
              rf.extractall(snake_case__				)
              rf.close()







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      List[str]        =   [B"\x28\xb5\x2F\xFD"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              if not config.ZSTANDARD_AVAILABLE:
                     raise ImportError('''Please pip install zstandard'''				)
              import zstandard as zstd

              lowercase		:List[Any]       							=				zstd.ZstdDecompressor()
              with open(snake_case__  ,     '''rb'''				) as ifh, open(snake_case__  ,     '''wb'''				) as ofh:
                     dctx.copy_stream(snake_case__  ,     snake_case__				)







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      List[Any]        =   [B"\x42\x5A\x68"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              with bza.open(snake_case__  ,     '''rb'''				) as compressed_file:
                     with open(snake_case__  ,     '''wb'''				) as extracted_file:
                            shutil.copyfileobj(snake_case__  ,     snake_case__				)







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      List[str]        =   [B"\x37\x7A\xBC\xAF\x27\x1C"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              if not config.PY7ZR_AVAILABLE:
                     raise ImportError('''Please pip install py7zr'''				)
              import pyazr

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







class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Optional[Any]        =   [B"\x04\x22\x4D\x18"]






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]				):

              '''simple docstring'''






              if not config.LZ4_AVAILABLE:
                     raise ImportError('''Please pip install lz4'''				)
              import lza.frame

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







class 					__magic_name__		:
       #  Put zip file to the last, b/c it is possible wrongly detected as zip (I guess it means: as tar or gzip)
       __A			:      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  __snake_case						(   cls  :    Union[str, Any]				):

              '''simple docstring'''






              return max(
                  len(snake_case__				)
                  for extractor in cls.extractors.values()
                  if issubclass(snake_case__  ,     snake_case__				)
                  for extractor_magic_number in extractor.magic_numbers				)






       @staticmethod
       def  __snake_case						(   snake_case__  :    Union[Path, str]  ,     snake_case__  :    int				):

              '''simple docstring'''






              try:
                     return MagicNumberBaseExtractor.read_magic_number(snake_case__  ,     magic_number_length=snake_case__				)
              except OSError:
                     return b""






       @classmethod
       def  __snake_case						(   cls  :    Optional[Any]  ,     snake_case__  :    Union[Path, str]  ,     snake_case__  :    bool = False				):

              '''simple docstring'''






              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=snake_case__  ,     )
              lowercase		:Union[str, Any]       							=				cls.infer_extractor_format(snake_case__				)
              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  __snake_case						(   cls  :    List[str]  ,     snake_case__  :    Union[Path, str]				):  # <Added version="2.4.0"/>

              '''simple docstring'''






              lowercase		:Optional[Any]       							=				cls._get_magic_number_max_length()
              lowercase		:Tuple       							=				cls._read_magic_number(snake_case__  ,     snake_case__				)
              for extractor_format, extractor in cls.extractors.items():
                     if extractor.is_extractable(snake_case__  ,     magic_number=snake_case__				):
                            return extractor_format







       @classmethod
       def  __snake_case						(   cls  :    int  ,     snake_case__  :    Union[Path, str]  ,     snake_case__  :    Union[Path, str]  ,     snake_case__  :    Optional[str] = None  ,     snake_case__  :    Optional[BaseExtractor] = "deprecated"  ,     ):

              '''simple docstring'''






              os.makedirs(os.path.dirname(snake_case__				)  ,     exist_ok=snake_case__				)
              # Prevent parallel extractions
              lowercase		:Union[str, Any]       							=				str(Path(snake_case__				).with_suffix('''.lock'''				)				)
              with FileLock(snake_case__				):
                     shutil.rmtree(snake_case__  ,     ignore_errors=snake_case__				)
                     if extractor_format or extractor != "deprecated":
                            if extractor != "deprecated" or not isinstance(snake_case__  ,     snake_case__				):  # 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=snake_case__  ,     )
                                   lowercase		:Optional[Any]       							=				extractor if extractor != '''deprecated''' else extractor_format
                            else:
                                   lowercase		:Optional[int]       							=				cls.extractors[extractor_format]
                            return extractor.extract(snake_case__  ,     snake_case__				)
                     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=snake_case__  ,     )
                            for extractor in cls.extractors.values():
                                   if extractor.is_extractable(snake_case__				):
                                          return extractor.extract(snake_case__  ,     snake_case__				)





"""simple docstring"""



import argparse
import os
from pathlib import Path
from typing import Dict

import tensorflow as tf
import torch
from tqdm import tqdm

from transformers import PegasusConfig, PegasusForConditionalGeneration, PegasusTokenizer
from transformers.models.pegasus.configuration_pegasus import DEFAULTS, task_specific_params


UpperCAmelCase      		=			[
    # replace left string with right string to get the relevant state_dict key (identical state dict to bart)
    ['''memory_attention''', '''encoder_attn'''],
    ['''attention''', '''attn'''],
    ['''/''', '''.'''],
    ['''.LayerNorm.gamma''', '''_layer_norm.weight'''],
    ['''.LayerNorm.beta''', '''_layer_norm.bias'''],
    ['''r.layer_''', '''r.layers.'''],
    ['''output_proj''', '''out_proj'''],
    ['''ffn.dense_1.''', '''fc2.'''],
    ['''ffn.dense.''', '''fc1.'''],
    ['''ffn_layer_norm''', '''final_layer_norm'''],
    ['''kernel''', '''weight'''],
    ['''encoder_layer_norm.''', '''encoder.layer_norm.'''],
    ['''decoder_layer_norm.''', '''decoder.layer_norm.'''],
    ['''embeddings.weights''', '''shared.weight'''],
]






def       lowerCamelCase					(a_						:Union[str, Any])     ->							Optional[Any]:
       for pegasus_name, hf_name in PATTERNS:
              lowercase		:List[Any]       							=				k.replace(a_				,				a_)
       return k






def       lowerCamelCase					(a_						:dict				,				a_						:dict)     ->							PegasusForConditionalGeneration:
       lowercase		:Union[str, Any]       							=				DEFAULTS.copy()
       cfg_kwargs.update(a_)
       lowercase		:Optional[Any]       							=				PegasusConfig(**a_)
       lowercase		:int       							=				PegasusForConditionalGeneration(a_)
       lowercase		:Optional[int]       							=				torch_model.model.state_dict()
       lowercase		:Tuple       							=				{}
       for k, v in tf_weights.items():
              lowercase		:Dict       							=				rename_state_dict_key(a_)
              if new_k not in sd:
                     raise ValueError(F"""could not find new key {new_k} in state dict. (converted from {k})""")

              if "dense" in k or "proj" in new_k:
                     lowercase		:Union[str, Any]       							=				v.T
              lowercase		:List[str]       							=				torch.tensor(a_				,				dtype=sd[new_k].dtype)
              assert v.shape == sd[new_k].shape, F"""{new_k}, {k}, {v.shape}, {sd[new_k].shape}"""
       # make sure embedding.padding_idx is respected
       lowercase		:Optional[int]       							=				torch.zeros_like(mapping['''shared.weight'''][cfg.pad_token_id + 1])
       lowercase		:Union[str, Any]       							=				mapping['''shared.weight''']
       lowercase		:Dict       							=				mapping['''shared.weight''']
       lowercase		:int       							=				{k: torch.zeros_like(a_) for k, v in sd.items() if k.endswith('''bias''') and k not in mapping}
       mapping.update(**a_)
       lowercase							,  lowercase		:Tuple       							=				torch_model.model.load_state_dict(a_				,				strict=a_)
       lowercase		:Dict       							=				[
           k for k in missing if k not in ['''encoder.embed_positions.weight''', '''decoder.embed_positions.weight''']
       ]
       assert unexpected_missing == [], F"""no matches found for the following torch keys {unexpected_missing}"""
       assert extra == [], F"""no matches found for the following tf keys {extra}"""
       return torch_model






def       lowerCamelCase					(a_						:Union[str, Any]="./ckpt/aeslc/model.ckpt-32000")     ->							Dict:
       lowercase		:Any       							=				tf.train.list_variables(a_)
       lowercase		:str       							=				{}
       lowercase		:Optional[Any]       							=				['''Adafactor''', '''global_step''']
       for name, shape in tqdm(a_				,				desc='''converting tf checkpoint to dict'''):
              lowercase		:str       							=				any(pat in name for pat in ignore_name)
              if skip_key:
                     continue
              lowercase		:str       							=				tf.train.load_variable(a_				,				a_)
              lowercase		:Dict       							=				array
       return tf_weights






def       lowerCamelCase					(a_						:str				,				a_						:str)     ->							List[str]:
       # save tokenizer first
       lowercase		:List[str]       							=				Path(a_).parent.name
       lowercase		:List[Any]       							=				task_specific_params[F"""summarization_{dataset}"""]['''max_position_embeddings''']
       lowercase		:List[Any]       							=				PegasusTokenizer.from_pretrained('''sshleifer/pegasus'''				,				model_max_length=a_)
       assert tok.model_max_length == desired_max_model_length
       tok.save_pretrained(a_)

       # convert model
       lowercase		:Any       							=				get_tf_weights_as_numpy(a_)
       lowercase		:str       							=				task_specific_params[F"""summarization_{dataset}"""]
       if dataset == "large":
              lowercase		:int       							=				task_specific_params
       lowercase		:List[Any]       							=				convert_pegasus(a_				,				a_)
       torch_model.save_pretrained(a_)
       lowercase		:Union[str, Any]       							=				torch_model.state_dict()
       sd.pop('''model.decoder.embed_positions.weight''')
       sd.pop('''model.encoder.embed_positions.weight''')
       torch.save(a_				,				Path(a_) / '''pytorch_model.bin''')


if __name__ == "__main__":
 UpperCAmelCase      		=			argparse.ArgumentParser()
 # Required parameters
 parser.add_argument('''tf_ckpt_path''', type=str, help='''passed to tf.train.list_variables''')
 parser.add_argument('''save_dir''', default=None, type=str, help='''Path to the output PyTorch model.''')
 UpperCAmelCase      		=			parser.parse_args()
 if args.save_dir is None:
  UpperCAmelCase      		=			Path(args.tf_ckpt_path).parent.name
  UpperCAmelCase      		=			os.path.join('''pegasus''', dataset)
 convert_pegasus_ckpt_to_pytorch(args.tf_ckpt_path, args.save_dir)

