




from collections import OrderedDict
from typing import TYPE_CHECKING, Any, Mapping, Optional, Union

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


if TYPE_CHECKING:
       from ... import FeatureExtractionMixin, PreTrainedTokenizerBase, TensorType


UpperCAmelCase_									=	logging.get_logger(__name__)

UpperCAmelCase_									=	{
    'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/config.json',
    'microsoft/deberta-v2-xlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/config.json'
    ),
    'microsoft/deberta-v2-xxlarge-mnli': (
        'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/config.json'
    ),
}





class     lowerCamelCase__(					__lowerCamelCase):
      UpperCAmelCase__      :	Dict    		=   'deberta-v2'
      def __init__(				self: Optional[Any]    ,       UpperCamelCase_: Union[str, Any]=12_81_00    ,       UpperCamelCase_: Optional[int]=15_36    ,       UpperCamelCase_: str=24    ,       UpperCamelCase_: Optional[Any]=24    ,       UpperCamelCase_: int=61_44    ,       UpperCamelCase_: Dict="gelu"    ,       UpperCamelCase_: Optional[Any]=0.1    ,       UpperCamelCase_: List[Any]=0.1    ,       UpperCamelCase_: List[Any]=5_12    ,       UpperCamelCase_: List[Any]=0    ,       UpperCamelCase_: Any=0.02    ,       UpperCamelCase_: Tuple=1E-7    ,       UpperCamelCase_: List[Any]=False    ,       UpperCamelCase_: Any=-1    ,       UpperCamelCase_: Tuple=0    ,       UpperCamelCase_: str=True    ,       UpperCamelCase_: Any=None    ,       UpperCamelCase_: List[Any]=0    ,       UpperCamelCase_: str="gelu"    ,       **UpperCamelCase_: Tuple    ,       ):
             super().__init__(**UpperCamelCase_   )

             __lowerCamelCase   =						hidden_size
             __lowerCamelCase   =						num_hidden_layers
             __lowerCamelCase   =						num_attention_heads
             __lowerCamelCase   =						intermediate_size
             __lowerCamelCase   =						hidden_act
             __lowerCamelCase   =						hidden_dropout_prob
             __lowerCamelCase   =						attention_probs_dropout_prob
             __lowerCamelCase   =						max_position_embeddings
             __lowerCamelCase   =						type_vocab_size
             __lowerCamelCase   =						initializer_range
             __lowerCamelCase   =						relative_attention
             __lowerCamelCase   =						max_relative_positions
             __lowerCamelCase   =						pad_token_id
             __lowerCamelCase   =						position_biased_input

             # Backwards compatibility
             if type(UpperCamelCase_   ) == str:
                    __lowerCamelCase   =						[x.strip() for x in pos_att_type.lower().split("""|"""   )]

             __lowerCamelCase   =						pos_att_type
             __lowerCamelCase   =						vocab_size
             __lowerCamelCase   =						layer_norm_eps

             __lowerCamelCase   =						kwargs.get("""pooler_hidden_size"""    ,       UpperCamelCase_   )
             __lowerCamelCase   =						pooler_dropout
             __lowerCamelCase   =						pooler_hidden_act





class     lowerCamelCase__(					__lowerCamelCase):
      @property
      def 			lowerCAmelCase__						(				self: int   ):
             if self.task == "multiple-choice":
                    __lowerCamelCase   =						{0: """batch""", 1: """choice""", 2: """sequence"""}
             else:
                    __lowerCamelCase   =						{0: """batch""", 1: """sequence"""}
             if self._config.type_vocab_size > 0:
                    return OrderedDict(
                        [("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis), ("""token_type_ids""", dynamic_axis)]   )
             else:
                    return OrderedDict([("""input_ids""", dynamic_axis), ("""attention_mask""", dynamic_axis)]   )
      @property
      def 			lowerCAmelCase__						(				self: Any   ):
             return 12




      def 			lowerCAmelCase__						(				self: Optional[Any]    ,       UpperCamelCase_: Union["PreTrainedTokenizerBase", "FeatureExtractionMixin"]    ,       UpperCamelCase_: int = -1    ,       UpperCamelCase_: int = -1    ,       UpperCamelCase_: int = -1    ,       UpperCamelCase_: bool = False    ,       UpperCamelCase_: Optional["TensorType"] = None    ,       UpperCamelCase_: int = 3    ,       UpperCamelCase_: int = 40    ,       UpperCamelCase_: int = 40    ,       UpperCamelCase_: "PreTrainedTokenizerBase" = None    ,       ):
             __lowerCamelCase   =						super().generate_dummy_inputs(preprocessor=UpperCamelCase_    ,       framework=UpperCamelCase_   )
             if self._config.type_vocab_size == 0 and "token_type_ids" in dummy_inputs:
                    del dummy_inputs["token_type_ids"]
             return dummy_inputs






import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


__snake_case						:List[str]      		=     '''\
    Text data.
    Second line of data.'''

__snake_case						:Optional[Any]      		=     '''file'''





@pytest.fixture(scope='''session'''				)
def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				tmp_path_factory.mktemp('''data'''				) / (FILE_PATH + '''.zstd''')
    __a						       =				bytes(_UpperCAmelCase   , '''utf-8'''				)
    with zstd.open(_UpperCAmelCase   , '''wb'''				) as f:
        f.write(_UpperCAmelCase				)
    return path





@pytest.fixture
def      __snake_case	(			_UpperCAmelCase				):
    with open(os.path.join(tmpfs.local_root_dir   , _UpperCAmelCase				)   , '''w'''				) as f:
        f.write(_UpperCAmelCase				)
    return FILE_PATH





@pytest.mark.parametrize('''compression_format'''   , ['''gzip''', '''xz''', '''zstd''']				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
    __a						       =				input_paths[compression_format]
    __a						       =				tmp_path / '''cache'''
    __a						       =				DownloadConfig(cache_dir=_UpperCAmelCase   , extract_compressed_file=_UpperCAmelCase				)
    __a						       =				cached_path(_UpperCAmelCase   , download_config=_UpperCAmelCase				)
    with open(_UpperCAmelCase				) as f:
        __a						       =				f.read()
    with open(_UpperCAmelCase				) as f:
        __a						       =				f.read()
    assert extracted_file_content == expected_file_content





@pytest.mark.parametrize('''default_extracted'''   , [True, False]				)
@pytest.mark.parametrize('''default_cache_dir'''   , [True, False]				)
def      __snake_case	(			_UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase   , _UpperCAmelCase				):
    __a						       =				'''custom_cache'''
    __a						       =				'''custom_extracted_dir'''
    __a						       =				tmp_path / '''custom_extracted_path'''
    if default_extracted:
        __a						       =				('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
    else:
        monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''   , _UpperCAmelCase				)
        monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''   , str(_UpperCAmelCase				)				)
        __a						       =				custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

    __a						       =				xz_file
    __a						       =				(
        DownloadConfig(extract_compressed_file=_UpperCAmelCase				)
        if default_cache_dir
        else DownloadConfig(cache_dir=tmp_path / custom_cache_dir   , extract_compressed_file=_UpperCAmelCase				)
    )
    __a						       =				cached_path(_UpperCAmelCase   , download_config=_UpperCAmelCase				)
    assert Path(_UpperCAmelCase				).parent.parts[-2:] == expected





def      __snake_case	(			_UpperCAmelCase				):
    # absolute path
    __a						       =				str(Path(_UpperCAmelCase				).resolve()				)
    assert cached_path(_UpperCAmelCase				) == text_file
    # relative path
    __a						       =				str(Path(_UpperCAmelCase				).resolve().relative_to(Path(os.getcwd()				)				)				)
    assert cached_path(_UpperCAmelCase				) == text_file





def      __snake_case	(			_UpperCAmelCase				):
    # absolute path
    __a						       =				str(tmp_path.resolve() / '''__missing_file__.txt'''				)
    with pytest.raises(_UpperCAmelCase				):
        cached_path(_UpperCAmelCase				)
    # relative path
    __a						       =				'''./__missing_file__.txt'''
    with pytest.raises(_UpperCAmelCase				):
        cached_path(_UpperCAmelCase				)





def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				get_from_cache(f'tmp://{tmpfs_file}'				)
    with open(_UpperCAmelCase				) as f:
        __a						       =				f.read()
    assert output_file_content == FILE_CONTENT





@patch('''datasets.config.HF_DATASETS_OFFLINE'''   , _UpperCAmelCase				)
def      __snake_case	(			):
    with pytest.raises(_UpperCAmelCase				):
        cached_path('''https://huggingface.co'''				)





@patch('''datasets.config.HF_DATASETS_OFFLINE'''   , _UpperCAmelCase				)
def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				tmp_path_factory.mktemp('''data'''				) / '''file.html'''
    with pytest.raises(_UpperCAmelCase				):
        http_get('''https://huggingface.co'''   , temp_file=_UpperCAmelCase				)
    with pytest.raises(_UpperCAmelCase				):
        http_head('''https://huggingface.co'''				)





@patch('''datasets.config.HF_DATASETS_OFFLINE'''   , _UpperCAmelCase				)
def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				tmp_path_factory.mktemp('''data'''				) / '''file.html'''
    with pytest.raises(_UpperCAmelCase				):
        ftp_get('''ftp://huggingface.co'''   , temp_file=_UpperCAmelCase				)
    with pytest.raises(_UpperCAmelCase				):
        ftp_head('''ftp://huggingface.co'''				)





@patch('''datasets.config.HF_DATASETS_OFFLINE'''   , _UpperCAmelCase				)
def      __snake_case	(			_UpperCAmelCase				):
    __a						       =				tmp_path_factory.mktemp('''data'''				) / '''file.html'''
    with pytest.raises(_UpperCAmelCase				):
        fsspec_get('''s3://huggingface.co'''   , temp_file=_UpperCAmelCase				)
    with pytest.raises(_UpperCAmelCase				):
        fsspec_head('''s3://huggingface.co'''				)





