




import logging

from transformers.configuration_utils import PretrainedConfig


UpperCAmelCase_									=	logging.getLogger(__name__)





class     lowerCamelCase__(					__lowerCamelCase):
      UpperCAmelCase__      :	str    		=   'masked_bert'
      def __init__(				self: Dict    ,       UpperCamelCase_: int=3_05_22    ,       UpperCamelCase_: Optional[Any]=7_68    ,       UpperCamelCase_: Optional[Any]=12    ,       UpperCamelCase_: List[Any]=12    ,       UpperCamelCase_: str=30_72    ,       UpperCamelCase_: Tuple="gelu"    ,       UpperCamelCase_: Optional[Any]=0.1    ,       UpperCamelCase_: Union[str, Any]=0.1    ,       UpperCamelCase_: str=5_12    ,       UpperCamelCase_: Union[str, Any]=2    ,       UpperCamelCase_: Optional[int]=0.02    ,       UpperCamelCase_: Any=1E-12    ,       UpperCamelCase_: Optional[Any]=0    ,       UpperCamelCase_: Optional[Any]="topK"    ,       UpperCamelCase_: List[str]="constant"    ,       UpperCamelCase_: Union[str, Any]=0.0    ,       **UpperCamelCase_: List[Any]    ,       ):
             super().__init__(pad_token_id=UpperCamelCase_    ,       **UpperCamelCase_   )

             __lowerCamelCase   =						vocab_size
             __lowerCamelCase   =						hidden_size
             __lowerCamelCase   =						num_hidden_layers
             __lowerCamelCase   =						num_attention_heads
             __lowerCamelCase   =						hidden_act
             __lowerCamelCase   =						intermediate_size
             __lowerCamelCase   =						hidden_dropout_prob
             __lowerCamelCase   =						attention_probs_dropout_prob
             __lowerCamelCase   =						max_position_embeddings
             __lowerCamelCase   =						type_vocab_size
             __lowerCamelCase   =						initializer_range
             __lowerCamelCase   =						layer_norm_eps
             __lowerCamelCase   =						pruning_method
             __lowerCamelCase   =						mask_init
             __lowerCamelCase   =						mask_scale







# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


UpperCAmelCase_									=	get_logger(__name__)





class     lowerCamelCase__:
      UpperCAmelCase__      :	List[Any]    		=   'dummy_data'
      UpperCAmelCase__      :	str    		=   'datasets'
      UpperCAmelCase__      :	Tuple    		=   False
      def __init__(				self: Optional[Any]    ,       UpperCamelCase_: str    ,       UpperCamelCase_: str    ,       UpperCamelCase_: Union[Version, str]    ,       UpperCamelCase_: Optional[str] = None    ,       UpperCamelCase_: bool = False    ,       UpperCamelCase_: bool = True    ,       UpperCamelCase_: Optional[List[Callable]] = None    ,       ):
             __lowerCamelCase   =						0
             __lowerCamelCase   =						dataset_name
             __lowerCamelCase   =						cache_dir
             __lowerCamelCase   =						use_local_dummy_data
             __lowerCamelCase   =						config
             # download_callbacks take a single url as input
             __lowerCamelCase   =						download_callbacks or []
             # if False, it doesn't load existing files and it returns the paths of the dummy files relative
             # to the dummy_data zip file root
             __lowerCamelCase   =						load_existing_dummy_data

             # TODO(PVP, QL) might need to make this more general
             __lowerCamelCase   =						str(UpperCamelCase_   )
             # to be downloaded
             __lowerCamelCase   =						None
             __lowerCamelCase   =						None
      @property
      def 			lowerCAmelCase__						(				self: List[Any]   ):
             if self._dummy_file is None:
                    __lowerCamelCase   =						self.download_dummy_data()
             return self._dummy_file
      @property
      def 			lowerCAmelCase__						(				self: str   ):
             if self.config is not None:
                    # structure is dummy / config_name / version_name
                    return os.path.join("""dummy"""    ,       self.config.name    ,       self.version_name   )
             # structure is dummy / version_name
             return os.path.join("""dummy"""    ,       self.version_name   )
      @property
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             return os.path.join(self.dummy_data_folder    ,       """dummy_data.zip"""   )
      def 			lowerCAmelCase__						(				self: Any   ):
             __lowerCamelCase   =						(
                 self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
             )

             __lowerCamelCase   =						cached_path(
                 UpperCamelCase_    ,       cache_dir=self.cache_dir    ,       extract_compressed_file=UpperCamelCase_    ,       force_extract=UpperCamelCase_   )

             return os.path.join(UpperCamelCase_    ,       self.dummy_file_name   )
      @property
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             return os.path.join(self.datasets_scripts_dir    ,       self.dataset_name    ,       self.dummy_zip_file   )
      @property
      def 			lowerCAmelCase__						(				self: Tuple   ):
             if self._bucket_url is None:
                    __lowerCamelCase   =						hf_github_url(self.dataset_name    ,       self.dummy_zip_file.replace(os.sep    ,       """/"""   )   )
             return self._bucket_url
      @property
      def 			lowerCAmelCase__						(				self: str   ):
             # return full path if its a dir
             if os.path.isdir(self.dummy_file   ):
                    return self.dummy_file
             # else cut off path to file -> example `xsum`.
             return "/".join(self.dummy_file.replace(os.sep    ,       """/"""   ).split("""/"""   )[:-1]   )
      def 			lowerCAmelCase__						(				self: List[str]    ,       UpperCamelCase_: Dict    ,       *UpperCamelCase_: str   ):
             if self.load_existing_dummy_data:
                    # dummy data is downloaded and tested
                    __lowerCamelCase   =						self.dummy_file
             else:
                    # dummy data cannot be downloaded and only the path to dummy file is returned
                    __lowerCamelCase   =						self.dummy_file_name

             # special case when data_url is a dict
             if isinstance(UpperCamelCase_    ,       UpperCamelCase_   ):
                    return self.create_dummy_data_dict(UpperCamelCase_    ,       UpperCamelCase_   )
             elif isinstance(UpperCamelCase_    ,       (list, tuple)   ):
                    return self.create_dummy_data_list(UpperCamelCase_    ,       UpperCamelCase_   )
             else:
                    return self.create_dummy_data_single(UpperCamelCase_    ,       UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: Optional[Any]    ,       *UpperCamelCase_: str   ):
             return self.download_and_extract(UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: List[Any]    ,       UpperCamelCase_: Tuple    ,       UpperCamelCase_: str   ):
             return self.download_and_extract(UpperCamelCase_   )
      def 			lowerCAmelCase__						(				self: str    ,       UpperCamelCase_: int    ,       *UpperCamelCase_: List[str]    ,       **UpperCamelCase_: str   ):
             return path
      def 			lowerCAmelCase__						(				self: Dict   ):
             return {}
      def 			lowerCAmelCase__						(				self: str    ,       UpperCamelCase_: List[Any]    ,       UpperCamelCase_: Union[str, Any]   ):
             __lowerCamelCase   =						{}
             for key, single_urls in data_url.items():
                    for download_callback in self.download_callbacks:
                           if isinstance(UpperCamelCase_    ,       UpperCamelCase_   ):
                                  for single_url in single_urls:
                                         download_callback(UpperCamelCase_   )
                           else:
                                  __lowerCamelCase   =						single_urls
                                  download_callback(UpperCamelCase_   )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
                    if isinstance(UpperCamelCase_    ,       UpperCamelCase_   ):
                           __lowerCamelCase   =						[os.path.join(UpperCamelCase_    ,       urllib.parse.quote_plus(Path(UpperCamelCase_   ).name   )   ) for x in single_urls]
                    else:
                           __lowerCamelCase   =						single_urls
                           __lowerCamelCase   =						os.path.join(UpperCamelCase_    ,       urllib.parse.quote_plus(Path(UpperCamelCase_   ).name   )   )
                    __lowerCamelCase   =						value

             # make sure that values are unique
             if all(isinstance(UpperCamelCase_    ,       UpperCamelCase_   ) for i in dummy_data_dict.values()   ) and len(set(dummy_data_dict.values()   )   ) < len(
                 dummy_data_dict.values()   ):
                    # append key to value to make its name unique
                    __lowerCamelCase   =						{key: value + key for key, value in dummy_data_dict.items()}

             return dummy_data_dict
      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       UpperCamelCase_: Optional[Any]    ,       UpperCamelCase_: Optional[int]   ):
             __lowerCamelCase   =						[]
             # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
             __lowerCamelCase   =						all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""    ,       UpperCamelCase_   )   ) for url in data_url   )
             __lowerCamelCase   =						all(
                 url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"""   ) for url in data_url   )
             if data_url and (is_tf_records or is_pubmed_records):
                    __lowerCamelCase   =						[data_url[0]] * len(UpperCamelCase_   )
             for single_url in data_url:
                    for download_callback in self.download_callbacks:
                           download_callback(UpperCamelCase_   )
                    # we force the name of each key to be the last file / folder name of the url path
                    # if the url has arguments, we need to encode them with urllib.parse.quote_plus
                    __lowerCamelCase   =						os.path.join(UpperCamelCase_    ,       urllib.parse.quote_plus(single_url.split("""/"""   )[-1]   )   )
                    dummy_data_list.append(UpperCamelCase_   )
             return dummy_data_list
      def 			lowerCAmelCase__						(				self: Tuple    ,       UpperCamelCase_: Optional[int]    ,       UpperCamelCase_: Optional[Any]   ):
             for download_callback in self.download_callbacks:
                    download_callback(UpperCamelCase_   )
             # we force the name of each key to be the last file / folder name of the url path
             # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             __lowerCamelCase   =						os.path.join(UpperCamelCase_    ,       urllib.parse.quote_plus(data_url.split("""/"""   )[-1]   )   )
             if os.path.exists(UpperCamelCase_   ) or not self.load_existing_dummy_data:
                    return value
             else:
                    # Backward compatibility, maybe deprecate at one point.
                    # For many datasets with single url calls to dl_manager.download_and_extract,
                    # the dummy_data.zip file is actually the zipped downloaded file
                    # while now we expected the dummy_data.zip file to be a directory containing
                    # the downloaded file.
                    return path_to_dummy_data
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             pass
      def 			lowerCAmelCase__						(				self: List[Any]   ):
             pass
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: Dict   ):
             def _iter_archive_members(UpperCamelCase_: Any   ):
                    # this preserves the order of the members inside the ZIP archive
                    __lowerCamelCase   =						Path(self.dummy_file   ).parent
                    __lowerCamelCase   =						path.relative_to(UpperCamelCase_   )
                    with ZipFile(self.local_path_to_dummy_data   ) as zip_file:
                           __lowerCamelCase   =						zip_file.namelist()
                    for member in members:
                           if member.startswith(relative_path.as_posix()   ):
                                  yield dummy_parent_path.joinpath(UpperCamelCase_   )

             __lowerCamelCase   =						Path(UpperCamelCase_   )
             __lowerCamelCase   =						_iter_archive_members(UpperCamelCase_   ) if self.use_local_dummy_data else path.rglob("""*"""   )
             for file_path in file_paths:
                    if file_path.is_file() and not file_path.name.startswith((""".""", """__""")   ):
                           yield file_path.relative_to(UpperCamelCase_   ).as_posix(), file_path.open("""rb"""   )




      def 			lowerCAmelCase__						(				self: List[str]    ,       UpperCamelCase_: Dict   ):
             if not isinstance(UpperCamelCase_    ,       UpperCamelCase_   ):
                    __lowerCamelCase   =						[paths]
             for path in paths:
                    if os.path.isfile(UpperCamelCase_   ):
                           if os.path.basename(UpperCamelCase_   ).startswith((""".""", """__""")   ):
                                  return
                           yield path
                    else:
                           for dirpath, dirnames, filenames in os.walk(UpperCamelCase_   ):
                                  if os.path.basename(UpperCamelCase_   ).startswith((""".""", """__""")   ):
                                         continue
                                  dirnames.sort()
                                  for filename in sorted(UpperCamelCase_   ):
                                         if filename.startswith((""".""", """__""")   ):
                                                continue
                                         yield os.path.join(UpperCamelCase_    ,       UpperCamelCase_   )

