





# 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


__lowerCamelCase :  Union[str, Any]										=  get_logger(__name__)



class       A__     :
      _UpperCAmelCase			:Union[str, Any]							=     'dummy_data'
      _UpperCAmelCase			:Optional[int]							=     'datasets'
      _UpperCAmelCase			:Dict							=     False





      def __init__(				self ,							A_ ,							A_ ,							A_ ,							A_ = None ,							A_ = False ,							A_ = True ,							A_ = None ,							):
       '''simple docstring'''




       UpperCamelCase			:      List[str] 			=     0
       UpperCamelCase			:      List[Any] 			=     dataset_name
       UpperCamelCase			:      List[str] 			=     cache_dir
       UpperCamelCase			:      Optional[int] 			=     use_local_dummy_data
       UpperCamelCase			:      Union[str, Any] 			=     config
       # download_callbacks take a single url as input
       UpperCamelCase			:      List[Callable] 			=     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
       UpperCamelCase			:      Optional[int] 			=     load_existing_dummy_data

       # TODO(PVP, QL) might need to make this more general
       UpperCamelCase			:      Optional[Any] 			=     str(A_     )
       # to be downloaded
       UpperCamelCase			:      List[Any] 			=     None
       UpperCamelCase			:      Tuple 			=     None





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       if self._dummy_file is None:
        UpperCamelCase			:      int 			=     self.download_dummy_data()
       return self._dummy_file





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       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  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return os.path.join(self.dummy_data_folder ,							"dummy_data.zip"     )





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     (
           self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
       )

       UpperCamelCase			:      List[Any] 			=     cached_path(
           A_ ,							cache_dir=self.cache_dir ,							extract_compressed_file=A_ ,							force_extract=A_     )

       return os.path.join(A_ ,							self.dummy_file_name     )





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return os.path.join(self.datasets_scripts_dir ,							self.dataset_name ,							self.dummy_zip_file     )





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       if self._bucket_url is None:
        UpperCamelCase			:      List[str] 			=     hf_github_url(self.dataset_name ,							self.dummy_zip_file.replace(os.sep ,							"/"     )     )
       return self._bucket_url





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       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  __UpperCamelCase(				self ,							A_ ,							*A_     ):
       '''simple docstring'''




       if self.load_existing_dummy_data:
        # dummy data is downloaded and tested
        UpperCamelCase			:      Dict 			=     self.dummy_file
       else:
        # dummy data cannot be downloaded and only the path to dummy file is returned
        UpperCamelCase			:      List[str] 			=     self.dummy_file_name

       # special case when data_url is a dict
       if isinstance(A_ ,							A_     ):
        return self.create_dummy_data_dict(A_ ,							A_     )
       elif isinstance(A_ ,							(list, tuple)     ):
        return self.create_dummy_data_list(A_ ,							A_     )
       else:
        return self.create_dummy_data_single(A_ ,							A_     )





      def  __UpperCamelCase(				self ,							A_ ,							*A_     ):
       '''simple docstring'''




       return self.download_and_extract(A_     )





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       return self.download_and_extract(A_     )





      def  __UpperCamelCase(				self ,							A_ ,							*A_ ,							**A_     ):
       '''simple docstring'''




       return path





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       return {}





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Optional[Any] 			=     {}
       for key, single_urls in data_url.items():
        for download_callback in self.download_callbacks:
         if isinstance(A_ ,							A_     ):
          for single_url in single_urls:
           download_callback(A_     )
         else:
          UpperCamelCase			:      int 			=     single_urls
          download_callback(A_     )
            # 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(A_ ,							A_     ):
         UpperCamelCase			:      Optional[Any] 			=     [os.path.join(A_ ,							urllib.parse.quote_plus(Path(A_     ).name     )     ) for x in single_urls]
        else:
         UpperCamelCase			:      List[str] 			=     single_urls
         UpperCamelCase			:      int 			=     os.path.join(A_ ,							urllib.parse.quote_plus(Path(A_     ).name     )     )
        UpperCamelCase			:      Optional[int] 			=     value

       # make sure that values are unique
       if all(isinstance(A_ ,							A_     ) 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
        UpperCamelCase			:      List[Any] 			=     {key: value + key for key, value in dummy_data_dict.items()}

       return dummy_data_dict





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Any 			=     []
       # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
       UpperCamelCase			:      str 			=     all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}" ,							A_     )     ) for url in data_url     )
       UpperCamelCase			:      Union[str, Any] 			=     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):
        UpperCamelCase			:      List[Any] 			=     [data_url[0]] * len(A_     )
       for single_url in data_url:
        for download_callback in self.download_callbacks:
         download_callback(A_     )
        # 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
        UpperCamelCase			:      int 			=     os.path.join(A_ ,							urllib.parse.quote_plus(single_url.split("/"     )[-1]     )     )
        dummy_data_list.append(A_     )
       return dummy_data_list





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       for download_callback in self.download_callbacks:
        download_callback(A_     )
       # 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
       UpperCamelCase			:      List[str] 			=     os.path.join(A_ ,							urllib.parse.quote_plus(data_url.split("/"     )[-1]     )     )
       if os.path.exists(A_     ) 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  __UpperCamelCase(				self     ):
       '''simple docstring'''




       pass





      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       pass





      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




       def _iter_archive_members(A_     ):
        # this preserves the order of the members inside the ZIP archive
        UpperCamelCase			:      List[str] 			=     Path(self.dummy_file     ).parent
        UpperCamelCase			:      Optional[Any] 			=     path.relative_to(A_     )
        with ZipFile(self.local_path_to_dummy_data     ) as zip_file:
         UpperCamelCase			:      Union[str, Any] 			=     zip_file.namelist()
        for member in members:
         if member.startswith(relative_path.as_posix()     ):
          yield dummy_parent_path.joinpath(A_     )

       UpperCamelCase			:      Tuple 			=     Path(A_     )
       UpperCamelCase			:      Any 			=     _iter_archive_members(A_     ) 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(A_     ).as_posix(), file_path.open("rb"     )





      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




       if not isinstance(A_ ,							A_     ):
        UpperCamelCase			:      Optional[int] 			=     [paths]
       for path in paths:
        if os.path.isfile(A_     ):
         if os.path.basename(A_     ).startswith((".", "__")     ):
          return
         yield path
        else:
         for dirpath, dirnames, filenames in os.walk(A_     ):
          if os.path.basename(A_     ).startswith((".", "__")     ):
           continue
          dirnames.sort()
          for filename in sorted(A_     ):
           if filename.startswith((".", "__")     ):
            continue
           yield os.path.join(A_ ,							A_     )









from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase :  Tuple										=  logging.get_logger(__name__)

__lowerCamelCase :  str										=  {
    """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/config.json""",
    """umberto-commoncrawl-cased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"""
    ),
    """umberto-wikipedia-uncased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"""
    ),
}



class       A__     ( __snake_case    ):
      _UpperCAmelCase			:Union[str, Any]							=     'camembert'





      def __init__(				self ,							A_=3_0522 ,							A_=768 ,							A_=12 ,							A_=12 ,							A_=3072 ,							A_="gelu" ,							A_=0.1 ,							A_=0.1 ,							A_=512 ,							A_=2 ,							A_=0.02 ,							A_=1e-12 ,							A_=1 ,							A_=0 ,							A_=2 ,							A_="absolute" ,							A_=True ,							A_=None ,							**A_ ,							):
       '''simple docstring'''




       super().__init__(pad_token_id=A_ ,							bos_token_id=A_ ,							eos_token_id=A_ ,							**A_     )

       UpperCamelCase			:      List[str] 			=     vocab_size
       UpperCamelCase			:      Union[str, Any] 			=     hidden_size
       UpperCamelCase			:      Any 			=     num_hidden_layers
       UpperCamelCase			:      Union[str, Any] 			=     num_attention_heads
       UpperCamelCase			:      Dict 			=     hidden_act
       UpperCamelCase			:      str 			=     intermediate_size
       UpperCamelCase			:      str 			=     hidden_dropout_prob
       UpperCamelCase			:      Dict 			=     attention_probs_dropout_prob
       UpperCamelCase			:      Union[str, Any] 			=     max_position_embeddings
       UpperCamelCase			:      Optional[Any] 			=     type_vocab_size
       UpperCamelCase			:      int 			=     initializer_range
       UpperCamelCase			:      List[str] 			=     layer_norm_eps
       UpperCamelCase			:      Dict 			=     position_embedding_type
       UpperCamelCase			:      int 			=     use_cache
       UpperCamelCase			:      List[str] 			=     classifier_dropout



class       A__     ( __snake_case    ):





      @property
      def  __UpperCamelCase(				self     ):
       '''simple docstring'''




       if self.task == "multiple-choice":
        UpperCamelCase			:      Optional[int] 			=     {0: "batch", 1: "choice", 2: "sequence"}
       else:
        UpperCamelCase			:      str 			=     {0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("input_ids", dynamic_axis),
               ("attention_mask", dynamic_axis),
           ]     )
