






"""simple docstring"""





import json
import os
import pickle
import subprocess
from hashlib import mda
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import CodeType, FunctionType
from unittest import TestCase
from unittest.mock import patch

import pytest
from multiprocess import Pool
from packaging import version

import datasets
from datasets.fingerprint import Hasher, fingerprint_transform
from datasets.table import InMemoryTable

from .utils import (
    require_regex,
    require_spacy,
    require_spacy_model,
    require_tiktoken,
    require_torch,
    require_transformers,
)







class 						_a  :





   '''simple docstring'''






   def __init__(       self					, UpperCAmelCase_)			->   List[Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     foo





   def __call__(       self)			->   Union[str, Any]:




          '''simple docstring'''




          return self.foo







class 						_a  (		datasets.Dataset       ):





   '''simple docstring'''






   @fingerprint_transform(inplace=UpperCAmelCase_)
   def __lowercase							(       self					, UpperCAmelCase_					, *UpperCAmelCase_					, **UpperCAmelCase_)			->   int:




          '''simple docstring'''




          return DatasetChild(self.data					, fingerprint=UpperCAmelCase_)





   @fingerprint_transform(inplace=UpperCAmelCase_)
   def __lowercase							(       self					, UpperCAmelCase_					, *UpperCAmelCase_					, **UpperCAmelCase_)			->   int:




          '''simple docstring'''




          return DatasetChild(self.data					, fingerprint=UpperCAmelCase_)







class 						_a  :





   '''simple docstring'''






   def __init__(       self					, UpperCAmelCase_)			->   Optional[int]:




          '''simple docstring'''




          lowercase__:							Tuple         =     callable





   def __call__(       self					, *UpperCAmelCase_					, **UpperCAmelCase_)			->   Optional[int]:




          '''simple docstring'''




          if self.callable is not None:
                 return self.callable(*UpperCAmelCase_					, **UpperCAmelCase_)





   def __getstate__(       self)			->   int:




          '''simple docstring'''




          raise pickle.PicklingError()







class 						_a  (		lowercase_       ):





   '''simple docstring'''






   @require_transformers
   @pytest.mark.integration
   def __lowercase							(       self)			->   List[Any]:




          '''simple docstring'''




          from transformers import AutoTokenizer

          def encode(UpperCAmelCase_):
                 return tokenizer(UpperCAmelCase_)

          # TODO: add hash consistency tests across sessions
          lowercase__:							Tuple         =     AutoTokenizer.from_pretrained("bert-base-uncased")
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(lambda UpperCAmelCase_: tokenizer(UpperCAmelCase_))).hexdigest()
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Tuple         =     AutoTokenizer.from_pretrained("bert-base-cased")
          lowercase__:							int         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(lambda UpperCAmelCase_: tokenizer(UpperCAmelCase_))).hexdigest()
          lowercase__:							List[str]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Optional[int]         =     AutoTokenizer.from_pretrained("bert-base-uncased")
          lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							str         =     mda(datasets.utils.py_utils.dumps(lambda UpperCAmelCase_: tokenizer(UpperCAmelCase_))).hexdigest()
          lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   @require_transformers
   @pytest.mark.integration
   def __lowercase							(       self)			->   Optional[int]:




          '''simple docstring'''




          from transformers import AutoTokenizer

          lowercase__:							Optional[int]         =     AutoTokenizer.from_pretrained("gpt2")
          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          tokenizer("Hello world !")  # call once to change the tokenizer's cache
          lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)





   @require_regex
   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          import regex

          lowercase__:							List[Any]         =     regex.Regex("foo")
          lowercase__:							Optional[int]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							List[Any]         =     regex.Regex("bar")
          lowercase__:							List[str]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Union[str, Any]         =     regex.Regex("foo")
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)







class 						_a  (		lowercase_       ):





   '''simple docstring'''






   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          def func():
                 return foo

          lowercase__:							int         =     [0]
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Dict         =     [1]
          lowercase__:							int         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Union[str, Any]         =     [0]
          lowercase__:							List[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          def func():
                 pass

          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()

          def func():
                 pass

          lowercase__:							List[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          lowercase__:							Optional[int]         =     mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(Foo([1]))).hexdigest()
          lowercase__:							int         =     mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
          lowercase__:							List[Any]         =     mda(datasets.utils.py_utils.dumps(Foo([1]).__call__)).hexdigest()
          lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   Union[str, Any]:




          '''simple docstring'''




          lowercase__:							List[Any]         =     (
              "co_argcount",
              "co_kwonlyargcount",
              "co_nlocals",
              "co_stacksize",
              "co_flags",
              "co_code",
              "co_consts",
              "co_names",
              "co_varnames",
              "co_filename",
              "co_name",
              "co_firstlineno",
              "co_lnotab",
              "co_freevars",
              "co_cellvars",
          )

          def _create_code_pyaa(*UpperCAmelCase_):
                 if hasattr(args[-3]					, "encode"):
                        lowercase__:							Tuple         =     list(UpperCAmelCase_)
                        lowercase__:							str         =     args[-3].encode()  # co_lnotab
                        lowercase__:							Any         =     args[-10].encode()  # co_code
                 if hasattr(UpperCAmelCase_					, "co_posonlyargcount"):
                        if len(UpperCAmelCase_) == 16:
                               return CodeType(*UpperCAmelCase_)
                        elif len(UpperCAmelCase_) == 15:
                               return CodeType(args[0]					, 0					, *args[1:])
                        return CodeType(args[0]					, 0					, 0					, *args[1:])
                 elif hasattr(UpperCAmelCase_					, "co_kwonlyargcount"):
                        if len(UpperCAmelCase_) == 16:
                               return CodeType(args[0]					, *args[2:])
                        elif len(UpperCAmelCase_) == 15:
                               return CodeType(*UpperCAmelCase_)
                        return CodeType(args[0]					, 0					, *args[1:])
                 if len(UpperCAmelCase_) == 16:
                        return CodeType(args[0]					, *args[3:])
                 elif len(UpperCAmelCase_) == 15:
                        return CodeType(args[0]					, *args[2:])
                 return CodeType(*UpperCAmelCase_)

          def create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_):
                 def func():
                        return returned_obj

                 lowercase__:							Dict         =     func.__code__
                 # Use _create_code from dill in order to make it work for different python versions
                 if datasets.config.PY_VERSION < version.parse("3.8"):
                        lowercase__:							Union[str, Any]         =     _create_code_pyaa(
                            *[getattr(UpperCAmelCase_					, UpperCAmelCase_) if k != "co_filename" else co_filename for k in code_args_pyaa])
                 else:
                        lowercase__:							Tuple         =     code.replace(co_filename=UpperCAmelCase_)
                 return FunctionType(UpperCAmelCase_					, func.__globals__					, func.__name__					, func.__defaults__					, func.__closure__)

          lowercase__    ,      lowercase__:							Any         =     "<ipython-input-2-e0383a102aae>", [0]
          lowercase__:							List[str]         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          lowercase__    ,      lowercase__:							Optional[Any]         =     "<ipython-input-2-e0383a102aae>", [1]
          lowercase__:							Optional[int]         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          lowercase__    ,      lowercase__:							Tuple         =     "<ipython-input-5-713f6613acf3>", [0]
          lowercase__:							List[str]         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)

          lowercase__    ,      lowercase__:							Dict         =     os.path.join(gettempdir()					, "ipykernel_12345"					, "321456789.py"), [0]
          lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          lowercase__    ,      lowercase__:							Dict         =     os.path.join(gettempdir()					, "ipykernel_12345"					, "321456789.py"), [1]
          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          lowercase__    ,      lowercase__:							Any         =     os.path.join(gettempdir()					, "ipykernel_12345"					, "654123987.py"), [0]
          lowercase__:							Dict         =     mda(datasets.utils.py_utils.dumps(create_ipython_func(UpperCAmelCase_					, UpperCAmelCase_))).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__    ,      lowercase__:							str         =     [0], [1]

          def func():
                 return foo, bar

          lowercase__:							List[str]         =     "__main__"

          def globalvars_mocka_side_effect(UpperCAmelCase_					, *UpperCAmelCase_					, **UpperCAmelCase_):
                 return {"foo": foo, "bar": bar}

          def globalvars_mocka_side_effect(UpperCAmelCase_					, *UpperCAmelCase_					, **UpperCAmelCase_):
                 return {"bar": bar, "foo": foo}

          with patch("dill.detect.globalvars"					, side_effect=UpperCAmelCase_) as globalvars_mocka:
                 lowercase__:							Optional[Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count					, 0)
          with patch("dill.detect.globalvars"					, side_effect=UpperCAmelCase_) as globalvars_mocka:
                 lowercase__:							Tuple         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
                 self.assertGreater(globalvars_mocka.call_count					, 0)
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)







class 						_a  (		lowercase_       ):





   '''simple docstring'''






   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          lowercase__:							List[Any]         =     Hasher.hash("hello")
          lowercase__:							Optional[int]         =     Hasher.hash("hello")
          lowercase__:							int         =     Hasher.hash("there")
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							str         =     Hasher.hash(Foo("hello"))
          lowercase__:							Tuple         =     Hasher.hash(Foo("hello"))
          lowercase__:							Union[str, Any]         =     Hasher.hash(Foo("there"))
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          lowercase__:							str         =     Hasher()
          for x in ["hello", Foo("hello")]:
                 hasher.update(UpperCAmelCase_)
          lowercase__:							Dict         =     hasher.hexdigest()
          lowercase__:							Any         =     Hasher()
          for x in ["hello", Foo("hello")]:
                 hasher.update(UpperCAmelCase_)
          lowercase__:							List[Any]         =     hasher.hexdigest()
          lowercase__:							Optional[int]         =     Hasher()
          for x in ["there", Foo("there")]:
                 hasher.update(UpperCAmelCase_)
          lowercase__:							Tuple         =     hasher.hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   def __lowercase							(       self)			->   List[str]:




          '''simple docstring'''




          with self.assertRaises(pickle.PicklingError):
                 Hasher.hash(UnpicklableCallable(Foo("hello")))





   def __lowercase							(       self)			->   Optional[Any]:




          '''simple docstring'''




          lowercase__:							Optional[Any]         =     "abc"
          lowercase__:							Any         =     [string, string]  # two strings have the same ids
          lowercase__:							str         =     [string, string]
          lowercase__:							Optional[int]         =     json.loads(F"""[\"{string}\", \"{string}\"]""")  # two strings have different ids
          self.assertIs(obja[0]					, UpperCAmelCase_)
          self.assertIs(obja[0]					, obja[1])
          self.assertIs(obja[0]					, UpperCAmelCase_)
          self.assertIs(obja[0]					, obja[1])
          self.assertIsNot(obja[0]					, UpperCAmelCase_)
          self.assertIsNot(obja[0]					, obja[1])
          lowercase__:							List[Any]         =     Hasher.hash(UpperCAmelCase_)
          lowercase__:							str         =     Hasher.hash(UpperCAmelCase_)
          lowercase__:							Tuple         =     Hasher.hash(UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)





   @require_tiktoken
   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          import tiktoken

          lowercase__:							Union[str, Any]         =     tiktoken.get_encoding("gpt2")
          lowercase__:							List[str]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Dict         =     tiktoken.get_encoding("r50k_base")
          lowercase__:							Dict         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							List[Any]         =     tiktoken.get_encoding("gpt2")
          lowercase__:							Optional[int]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   @require_torch
   def __lowercase							(       self)			->   List[Any]:




          '''simple docstring'''




          import torch

          lowercase__:							Tuple         =     torch.tensor([1.0])
          lowercase__:							Optional[int]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Dict         =     torch.tensor([2.0])
          lowercase__:							Union[str, Any]         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Tuple         =     torch.tensor([1.0])
          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)





   @require_spacy
   @require_spacy_model("en_core_web_sm")
   @require_spacy_model("fr_core_news_sm")
   @pytest.mark.integration
   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          import spacy

          lowercase__:							Tuple         =     spacy.load("en_core_web_sm")
          lowercase__:							Any         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							Any         =     spacy.load("fr_core_news_sm")
          lowercase__:							str         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          lowercase__:							int         =     spacy.load("en_core_web_sm")
          lowercase__:							str         =     mda(datasets.utils.py_utils.dumps(UpperCAmelCase_)).hexdigest()
          self.assertEqual(UpperCAmelCase_					, UpperCAmelCase_)
          self.assertNotEqual(UpperCAmelCase_					, UpperCAmelCase_)







@pytest.mark.integration
def 							A(    snake_case_						):
       """simple docstring"""





       lowercase__:							Optional[Any]         =     tmp_path / "dir1"
       lowercase__:							Tuple         =     tmp_path / "dir2"
       dira.mkdir()
       dira.mkdir()
       lowercase__:							Union[str, Any]         =     "script.py"
       lowercase__:							Any         =     dedent(
           "\n    from datasets.fingerprint import Hasher\n    def foo():\n        pass\n    print(Hasher.hash(foo))\n    "						)
       lowercase__:							List[str]         =     dira / script_filename
       lowercase__:							int         =     dira / script_filename
       with script_patha.open("w"						) as f:
              f.write(snake_case_						)
       with script_patha.open("w"						) as f:
              f.write(snake_case_						)
       lowercase__:							Any         =     subprocess.check_output(["python", str(snake_case_						)]						)
       lowercase__:							Optional[Any]         =     subprocess.check_output(["python", str(snake_case_						)]						)
       assert fingerprinta == fingerprinta






def 							A(    ):
       """simple docstring"""





       lowercase__:							Optional[int]         =     {"a": [0, 1, 2]}
       lowercase__:							Dict         =     DatasetChild(InMemoryTable.from_pydict(snake_case_						)						)
       lowercase__:							List[Any]         =     dataset.funca()._fingerprint
       assert expected_fingerprint == dataset.funca()._fingerprint
       assert expected_fingerprint != dataset.funca()._fingerprint

       with Pool(2						) as p:
              assert expected_fingerprint == p.apply_async(dataset.funca						).get()._fingerprint
              assert expected_fingerprint != p.apply_async(dataset.funca						).get()._fingerprint






def 							A(    ):
       """simple docstring"""





       lowercase__:							List[str]         =     {"a": [0, 1, 2]}







       class 						_a  (		datasets.Dataset       ):





          '''simple docstring'''






          @fingerprint_transform(inplace=UpperCAmelCase_)
          def __lowercase							(       self					, UpperCAmelCase_)			->   List[str]:




                 '''simple docstring'''




                 return DummyDatasetChild(self.data					, fingerprint=UpperCAmelCase_)







       lowercase__:							Tuple         =     DummyDatasetChild(InMemoryTable.from_pydict(snake_case_						)						).func()







       class 						_a  (		datasets.Dataset       ):





          '''simple docstring'''






          @fingerprint_transform(inplace=UpperCAmelCase_					, version="1.0.0")
          def __lowercase							(       self					, UpperCAmelCase_)			->   Optional[int]:




                 '''simple docstring'''




                 return DummyDatasetChild(self.data					, fingerprint=UpperCAmelCase_)







       lowercase__:							Optional[int]         =     DummyDatasetChild(InMemoryTable.from_pydict(snake_case_						)						).func()







       class 						_a  (		datasets.Dataset       ):





          '''simple docstring'''






          @fingerprint_transform(inplace=UpperCAmelCase_					, version="2.0.0")
          def __lowercase							(       self					, UpperCAmelCase_)			->   Any:




                 '''simple docstring'''




                 return DummyDatasetChild(self.data					, fingerprint=UpperCAmelCase_)







       lowercase__:							Optional[int]         =     DummyDatasetChild(InMemoryTable.from_pydict(snake_case_						)						).func()

       assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}						) == 3







def 							A(    ):
       """simple docstring"""





       lowercase__:							int         =     Hasher()
       hasher.update(lambda snake_case_						: x						)








import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation


UpperCAmelCase__						:	str	     = logging.get_logger(__name__)

UpperCAmelCase__						:	int	     = {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase__						:	int	     = {
    'vocab_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'microsoft/deberta-base': 'https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt',
        'microsoft/deberta-large': 'https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt',
        'microsoft/deberta-xlarge': 'https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt',
        'microsoft/deberta-base-mnli': 'https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt',
        'microsoft/deberta-large-mnli': 'https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt',
        'microsoft/deberta-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'
        ),
    },
}

UpperCAmelCase__						:	List[str]	     = {
    'microsoft/deberta-base': 512,
    'microsoft/deberta-large': 512,
    'microsoft/deberta-xlarge': 512,
    'microsoft/deberta-base-mnli': 512,
    'microsoft/deberta-large-mnli': 512,
    'microsoft/deberta-xlarge-mnli': 512,
}

UpperCAmelCase__						:	Optional[Any]	     = {
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}






class UpperCAmelCase  (		SCREAMING_SNAKE_CASE__  ):





   '''simple docstring'''
   __UpperCamelCase						:       Union[str, Any]												=       VOCAB_FILES_NAMES
   __UpperCamelCase						:       Union[str, Any]												=       PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase						:       Union[str, Any]												=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase						:       str												=       ['''input_ids''', '''attention_mask''', '''token_type_ids''']
   __UpperCamelCase						:       Any												=       DebertaTokenizer


   def __init__(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				Optional[Any]=None     ,     lowerCAmelCase_	:				int=None     ,     lowerCAmelCase_	:				Dict=None     ,     lowerCAmelCase_	:				int="replace"     ,     lowerCAmelCase_	:				List[str]="[CLS]"     ,     lowerCAmelCase_	:				str="[SEP]"     ,     lowerCAmelCase_	:				int="[SEP]"     ,     lowerCAmelCase_	:				Any="[CLS]"     ,     lowerCAmelCase_	:				Dict="[UNK]"     ,     lowerCAmelCase_	:				Optional[int]="[PAD]"     ,     lowerCAmelCase_	:				List[str]="[MASK]"     ,     lowerCAmelCase_	:				Optional[Any]=False     ,     **lowerCAmelCase_	:				List[Any]     ,     ):

      """simple docstring"""
      super().__init__(
          lowerCAmelCase_     ,     lowerCAmelCase_     ,     tokenizer_file=lowerCAmelCase_     ,     errors=lowerCAmelCase_     ,     bos_token=lowerCAmelCase_     ,     eos_token=lowerCAmelCase_     ,     unk_token=lowerCAmelCase_     ,     sep_token=lowerCAmelCase_     ,     cls_token=lowerCAmelCase_     ,     pad_token=lowerCAmelCase_     ,     mask_token=lowerCAmelCase_     ,     add_prefix_space=lowerCAmelCase_     ,     **lowerCAmelCase_     ,     )
      _A:    List[str]						     =			kwargs.pop('''add_bos_token'''     ,     lowerCAmelCase_	)

      _A:    Optional[int]						     =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
      if pre_tok_state.get('''add_prefix_space'''     ,     lowerCAmelCase_	) != add_prefix_space:
         _A:    Dict						     =			getattr(lowerCAmelCase_     ,     pre_tok_state.pop('''type'''	)	)
         _A:    List[Any]						     =			add_prefix_space
         _A:    Optional[int]						     =			pre_tok_class(**lowerCAmelCase_	)

      _A:    Optional[Any]						     =			add_prefix_space


   @property
   def 					__magic_name__							(   self	:				Optional[Any]	):

      """simple docstring"""
      if self._mask_token is None:
         if self.verbose:
            logger.error('''Using mask_token, but it is not set yet.'''	)
         return None
      return str(self._mask_token	)


   @mask_token.setter
   def 					__magic_name__							(   self	:				str     ,     lowerCAmelCase_	:				str	):

      """simple docstring"""
      _A:    Dict						     =			AddedToken(lowerCAmelCase_     ,     lstrip=lowerCAmelCase_     ,     rstrip=lowerCAmelCase_	) if isinstance(lowerCAmelCase_     ,     lowerCAmelCase_	) else value
      _A:    str						     =			value


   def 					__magic_name__							(   self	:				Optional[Any]     ,     lowerCAmelCase_	:				List[int]     ,     lowerCAmelCase_	:				Optional[List[int]] = None	):

      """simple docstring"""
      if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      _A:    str						     =			[self.cls_token_id]
      _A:    Any						     =			[self.sep_token_id]
      return cls + token_ids_a + sep + token_ids_a + sep


   def 					__magic_name__							(   self	:				Optional[int]     ,     lowerCAmelCase_	:				List[int]     ,     lowerCAmelCase_	:				Optional[List[int]] = None	):

      """simple docstring"""
      _A:    Dict						     =			[self.sep_token_id]
      _A:    Any						     =			[self.cls_token_id]

      if token_ids_a is None:
         return len(cls + token_ids_a + sep	) * [0]
      return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]


   def 					__magic_name__							(   self	:				Tuple     ,     *lowerCAmelCase_	:				Dict     ,     **lowerCAmelCase_	:				Tuple	):

      """simple docstring"""
      _A:    Any						     =			kwargs.get('''is_split_into_words'''     ,     lowerCAmelCase_	)
      assert self.add_prefix_space or not is_split_into_words, (
          F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*lowerCAmelCase_     ,     **lowerCAmelCase_	)


   def 					__magic_name__							(   self	:				List[Any]     ,     *lowerCAmelCase_	:				Optional[Any]     ,     **lowerCAmelCase_	:				Any	):

      """simple docstring"""
      _A:    Optional[Any]						     =			kwargs.get('''is_split_into_words'''     ,     lowerCAmelCase_	)

      assert self.add_prefix_space or not is_split_into_words, (
          F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*lowerCAmelCase_     ,     **lowerCAmelCase_	)


   def 					__magic_name__							(   self	:				Optional[int]     ,     lowerCAmelCase_	:				str     ,     lowerCAmelCase_	:				Optional[str] = None	):

      """simple docstring"""
      _A:    Union[str, Any]						     =			self._tokenizer.model.save(lowerCAmelCase_     ,     name=lowerCAmelCase_	)
      return tuple(lowerCAmelCase_	)


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				"Conversation"	):

      """simple docstring"""
      _A:    List[Any]						     =			[]
      for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(lowerCAmelCase_     ,     add_special_tokens=lowerCAmelCase_	) + [self.eos_token_id]	)

      if len(lowerCAmelCase_	) > self.model_max_length:
         _A:    Union[str, Any]						     =			input_ids[-self.model_max_length :]
      return input_ids



