
'''simple docstring'''
import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 			__A					(			_snake_case     ,    unittest.TestCase      ):
 lowerCamelCase												=ElectraTokenizer
 lowerCamelCase												=ElectraTokenizerFast
 lowerCamelCase												=True
 lowerCamelCase												=True
 lowerCamelCase												=filter_non_english
 def 		lowercase_( self      :     int							):



   """simple docstring"""





   super().setUp()

   __A		:  Optional[Any]       				=		[
       """[UNK]""",
       """[CLS]""",
       """[SEP]""",
       """[PAD]""",
       """[MASK]""",
       """want""",
       """##want""",
       """##ed""",
       """wa""",
       """un""",
       """runn""",
       """##ing""",
       """,""",
       """low""",
       """lowest""",
   ]
   __A		:  Dict       				=		os.path.join(self.tmpdirname					, VOCAB_FILES_NAMES["""vocab_file"""]							)
   with open(self.vocab_file					, """w"""					, encoding="""utf-8"""							) as vocab_writer:
     vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]							)							)
 def 		lowercase_( self      :     Optional[int]					, lowerCamelCase      :     List[Any]							):



   """simple docstring"""





   __A		:  Tuple       				=		"""UNwant\u00E9d,running"""
   __A		:  Any       				=		"""unwanted, running"""
   return input_text, output_text
 def 		lowercase_( self      :     Tuple							):



   """simple docstring"""





   __A		:  Any       				=		self.tokenizer_class(self.vocab_file							)

   __A		:  Tuple       				=		tokenizer.tokenize("""UNwant\u00E9d,running"""							)
   self.assertListEqual(lowercase__					, ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]							)
   self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__							)					, [9, 6, 7, 12, 10, 11]							)
 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   if not self.test_rust_tokenizer:
     return

   __A		:  Any       				=		self.get_tokenizer()
   __A		:  Optional[Any]       				=		self.get_rust_tokenizer()

   __A		:  Union[str, Any]       				=		"""UNwant\u00E9d,running"""

   __A		:  Optional[Any]       				=		tokenizer.tokenize(lowercase__							)
   __A		:  Tuple       				=		rust_tokenizer.tokenize(lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)

   __A		:  Optional[Any]       				=		tokenizer.encode(lowercase__					, add_special_tokens=lowercase__							)
   __A		:  Optional[int]       				=		rust_tokenizer.encode(lowercase__					, add_special_tokens=lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)

   __A		:  Optional[Any]       				=		self.get_rust_tokenizer()
   __A		:  List[Any]       				=		tokenizer.encode(lowercase__							)
   __A		:  Union[str, Any]       				=		rust_tokenizer.encode(lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)

   # With lower casing
   __A		:  int       				=		self.get_tokenizer(do_lower_case=lowercase__							)
   __A		:  Optional[int]       				=		self.get_rust_tokenizer(do_lower_case=lowercase__							)

   __A		:  Tuple       				=		"""UNwant\u00E9d,running"""

   __A		:  int       				=		tokenizer.tokenize(lowercase__							)
   __A		:  Tuple       				=		rust_tokenizer.tokenize(lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)

   __A		:  List[Any]       				=		tokenizer.encode(lowercase__					, add_special_tokens=lowercase__							)
   __A		:  Tuple       				=		rust_tokenizer.encode(lowercase__					, add_special_tokens=lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)

   __A		:  List[Any]       				=		self.get_rust_tokenizer()
   __A		:  int       				=		tokenizer.encode(lowercase__							)
   __A		:  Tuple       				=		rust_tokenizer.encode(lowercase__							)
   self.assertListEqual(lowercase__					, lowercase__							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Tuple       				=		BasicTokenizer()

   self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""							)					, ["""ah""", """\u535A""", """\u63A8""", """zz"""]							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Optional[Any]       				=		BasicTokenizer(do_lower_case=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)					, ["""hello""", """!""", """how""", """are""", """you""", """?"""]							)
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)					, ["""hello"""]							)
 def 		lowercase_( self      :     Optional[int]							):



   """simple docstring"""





   __A		:  List[str]       				=		BasicTokenizer(do_lower_case=lowercase__					, strip_accents=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)					, ["""hällo""", """!""", """how""", """are""", """you""", """?"""]							)
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)					, ["""h\u00E9llo"""]							)
 def 		lowercase_( self      :     Tuple							):



   """simple docstring"""





   __A		:  Union[str, Any]       				=		BasicTokenizer(do_lower_case=lowercase__					, strip_accents=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)					, ["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)					, ["""hello"""]							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Dict       				=		BasicTokenizer(do_lower_case=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)					, ["""hallo""", """!""", """how""", """are""", """you""", """?"""]							)
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""							)					, ["""hello"""]							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  Dict       				=		BasicTokenizer(do_lower_case=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """							)					, ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  Any       				=		BasicTokenizer(do_lower_case=lowercase__					, strip_accents=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)					, ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def 		lowercase_( self      :     Optional[int]							):



   """simple docstring"""





   __A		:  str       				=		BasicTokenizer(do_lower_case=lowercase__					, strip_accents=lowercase__							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """							)					, ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]							)
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   __A		:  List[Any]       				=		BasicTokenizer(do_lower_case=lowercase__					, never_split=["""[UNK]"""]							)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""							)					, ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]							)
 def 		lowercase_( self      :     Optional[int]							):



   """simple docstring"""





   __A		:  List[str]       				=		["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

   __A		:  Dict       				=		{}
   for i, token in enumerate(lowercase__							):
     __A		:  Tuple       				=		i
   __A		:  int       				=		WordpieceTokenizer(vocab=lowercase__					, unk_token="""[UNK]"""							)

   self.assertListEqual(tokenizer.tokenize(""""""							)					, []							)

   self.assertListEqual(tokenizer.tokenize("""unwanted running"""							)					, ["""un""", """##want""", """##ed""", """runn""", """##ing"""]							)

   self.assertListEqual(tokenizer.tokenize("""unwantedX running"""							)					, ["""[UNK]""", """runn""", """##ing"""]							)
 def 		lowercase_( self      :     Any							):



   """simple docstring"""





   self.assertTrue(_is_whitespace(""" """							)							)
   self.assertTrue(_is_whitespace("""\t"""							)							)
   self.assertTrue(_is_whitespace("""\r"""							)							)
   self.assertTrue(_is_whitespace("""\n"""							)							)
   self.assertTrue(_is_whitespace("""\u00A0"""							)							)

   self.assertFalse(_is_whitespace("""A"""							)							)
   self.assertFalse(_is_whitespace("""-"""							)							)
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   self.assertTrue(_is_control("""\u0005"""							)							)

   self.assertFalse(_is_control("""A"""							)							)
   self.assertFalse(_is_control(""" """							)							)
   self.assertFalse(_is_control("""\t"""							)							)
   self.assertFalse(_is_control("""\r"""							)							)
 def 		lowercase_( self      :     str							):



   """simple docstring"""





   self.assertTrue(_is_punctuation("""-"""							)							)
   self.assertTrue(_is_punctuation("""$"""							)							)
   self.assertTrue(_is_punctuation("""`"""							)							)
   self.assertTrue(_is_punctuation("""."""							)							)

   self.assertFalse(_is_punctuation("""A"""							)							)
   self.assertFalse(_is_punctuation(""" """							)							)
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   __A		:  List[str]       				=		self.get_tokenizer()
   __A		:  Dict       				=		self.get_rust_tokenizer()

   # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
   self.assertListEqual([tokenizer.tokenize(lowercase__							) for t in ["""Test""", """\xad""", """test"""]]					, [["""[UNK]"""], [], ["""[UNK]"""]]							)

   self.assertListEqual(
       [rust_tokenizer.tokenize(lowercase__							) for t in ["""Test""", """\xad""", """test"""]]					, [["""[UNK]"""], [], ["""[UNK]"""]]							)
 @slow
 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  Optional[Any]       				=		self.tokenizer_class.from_pretrained("""google/electra-base-discriminator"""							)

   __A		:  Optional[int]       				=		tokenizer.encode("""sequence builders"""					, add_special_tokens=lowercase__							)
   __A		:  Union[str, Any]       				=		tokenizer.encode("""multi-sequence build"""					, add_special_tokens=lowercase__							)

   __A		:  Any       				=		tokenizer.build_inputs_with_special_tokens(lowercase__							)
   __A		:  Dict       				=		tokenizer.build_inputs_with_special_tokens(lowercase__					, lowercase__							)

   assert encoded_sentence == [1_01] + text + [1_02]
   assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"							):
       __A		:  Tuple       				=		self.rust_tokenizer_class.from_pretrained(lowercase__					, **lowercase__							)

       __A		:  Tuple       				=		f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
       __A		:  Optional[int]       				=		tokenizer_r.encode_plus(
           lowercase__					, return_attention_mask=lowercase__					, return_token_type_ids=lowercase__					, return_offsets_mapping=lowercase__					, add_special_tokens=lowercase__					, )

       __A		:  Tuple       				=		tokenizer_r.do_lower_case if hasattr(lowercase__					, """do_lower_case"""							) else False
       __A		:  str       				=		(
           [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """A"""),
               ((1, 2), ""","""),
               ((3, 5), """na"""),
               ((5, 6), """##ï"""),
               ((6, 8), """##ve"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """Allen"""),
               ((21, 23), """##NL"""),
               ((23, 24), """##P"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
           if not do_lower_case
           else [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """a"""),
               ((1, 2), ""","""),
               ((3, 8), """naive"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """allen"""),
               ((21, 23), """##nl"""),
               ((23, 24), """##p"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
       )

       self.assertEqual(
           [e[1] for e in expected_results]					, tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]							)							)
       self.assertEqual([e[0] for e in expected_results]					, tokens["""offset_mapping"""]							)






 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  int       				=		["""的""", """人""", """有"""]
   __A		:  List[str]       				=		"""""".join(lowercase__							)
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"							):
       __A		:  Any       				=		True
       __A		:  Optional[int]       				=		self.tokenizer_class.from_pretrained(lowercase__					, **lowercase__							)
       __A		:  Optional[int]       				=		self.rust_tokenizer_class.from_pretrained(lowercase__					, **lowercase__							)

       __A		:  Any       				=		tokenizer_p.encode(lowercase__					, add_special_tokens=lowercase__							)
       __A		:  List[str]       				=		tokenizer_r.encode(lowercase__					, add_special_tokens=lowercase__							)

       __A		:  Optional[Any]       				=		tokenizer_r.convert_ids_to_tokens(lowercase__							)
       __A		:  Optional[Any]       				=		tokenizer_p.convert_ids_to_tokens(lowercase__							)

       # it is expected that each Chinese character is not preceded by "##"
       self.assertListEqual(lowercase__					, lowercase__							)
       self.assertListEqual(lowercase__					, lowercase__							)

       __A		:  int       				=		False
       __A		:  Optional[Any]       				=		self.rust_tokenizer_class.from_pretrained(lowercase__					, **lowercase__							)
       __A		:  List[Any]       				=		self.tokenizer_class.from_pretrained(lowercase__					, **lowercase__							)

       __A		:  Optional[Any]       				=		tokenizer_r.encode(lowercase__					, add_special_tokens=lowercase__							)
       __A		:  str       				=		tokenizer_p.encode(lowercase__					, add_special_tokens=lowercase__							)

       __A		:  List[Any]       				=		tokenizer_r.convert_ids_to_tokens(lowercase__							)
       __A		:  Optional[Any]       				=		tokenizer_p.convert_ids_to_tokens(lowercase__							)

       # it is expected that only the first Chinese character is not preceded by "##".
       __A		:  Optional[Any]       				=		[
           f"##{token}" if idx != 0 else token for idx, token in enumerate(lowercase__							)
       ]
       self.assertListEqual(lowercase__					, lowercase__							)
       self.assertListEqual(lowercase__					, lowercase__							)








from typing import List, Optional, Tuple, Union

from . import logging
from .import_utils import is_torch_available, is_torch_version


if is_torch_available():
		import torch

__magic_name__       =     logging.get_logger(__name__)  # pylint: disable=invalid-name

try:
		from torch._dynamo import allow_in_graph as maybe_allow_in_graph
except (ImportError, ModuleNotFoundError):





		def 		__snake_case						(    cls				):
							"""simple docstring"""






							return cls





def 		__snake_case						(    _UpperCAmelCase       ,			_UpperCAmelCase = None       ,			_UpperCAmelCase = None       ,			_UpperCAmelCase = None       ,			_UpperCAmelCase = None       ,			):
					"""simple docstring"""






					lowercase						   =       device
					lowercase						   =       shape[0]

					lowercase						   =       layout or torch.strided
					lowercase						   =       device or torch.device('cpu'				)

					if generator is not None:
										lowercase						   =       generator.device.type if not isinstance(_UpperCAmelCase       ,			_UpperCAmelCase				) else generator[0].device.type
										if gen_device_type != device.type and gen_device_type == "cpu":
															lowercase						   =       'cpu'
															if device != "mps":
																				logger.info(
																				    f"""The passed generator was created on 'cpu' even though a tensor on {device} was expected."""
																				    f""" Tensors will be created on 'cpu' and then moved to {device}. Note that one can probably"""
																				    f""" slighly speed up this function by passing a generator that was created on the {device} device."""				)
										elif gen_device_type != device.type and gen_device_type == "cuda":
															raise ValueError(f"""Cannot generate a {device} tensor from a generator of type {gen_device_type}."""				)

					if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase				):
										lowercase						   =       (1,) + shape[1:]
										lowercase						   =       [
										    torch.randn(_UpperCAmelCase       ,			generator=generator[i]       ,			device=_UpperCAmelCase       ,			dtype=_UpperCAmelCase       ,			layout=_UpperCAmelCase				)
										    for i in range(_UpperCAmelCase				)
										]
										lowercase						   =       torch.cat(_UpperCAmelCase       ,			dim=0				).to(_UpperCAmelCase				)
					else:
										lowercase						   =       torch.randn(_UpperCAmelCase       ,			generator=_UpperCAmelCase       ,			device=_UpperCAmelCase       ,			dtype=_UpperCAmelCase       ,			layout=_UpperCAmelCase				).to(_UpperCAmelCase				)

					return latents





def 		__snake_case						(    _UpperCAmelCase				):
					"""simple docstring"""






					if is_torch_version('<'       ,			'2.0.0'				) or not hasattr(_UpperCAmelCase       ,			'_dynamo'				):
										return False
					return isinstance(_UpperCAmelCase       ,			torch._dynamo.eval_frame.OptimizedModule				)






