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_					(		SCREAMING_SNAKE_CASE			,	unittest.TestCase		):






 '''simple docstring'''






 UpperCAmelCase_      					=   ElectraTokenizer
 UpperCAmelCase_      					=   ElectraTokenizerFast
 UpperCAmelCase_      					=   True
 UpperCAmelCase_      					=   True
 UpperCAmelCase_      					=   filter_non_english




 def 						__snake_case		(     self   :    Any):







        '''simple docstring'''



        super().setUp()

        lowerCAmelCase__	      =   [
            "[UNK]",
            "[CLS]",
            "[SEP]",
            "[PAD]",
            "[MASK]",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        lowerCAmelCase__	      =   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 						__snake_case		(     self   :    List[Any]     ,       lowercase__   :    Any):







        '''simple docstring'''



        lowerCAmelCase__	      =   "UNwant\u00E9d,running"
        lowerCAmelCase__	      =   "unwanted, running"
        return input_text, output_text




 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   self.tokenizer_class(self.vocab_file)

        lowerCAmelCase__	      =   tokenizer.tokenize('UNwant\u00E9d,running')
        self.assertListEqual(_lowerCamelCase     ,       ['un', '##want', '##ed', ',', 'runn', '##ing'])
        self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase)     ,       [9, 6, 7, 12, 10, 11])




 def 						__snake_case		(     self   :    List[Any]):







        '''simple docstring'''



        if not self.test_rust_tokenizer:
               return

        lowerCAmelCase__	      =   self.get_tokenizer()
        lowerCAmelCase__	      =   self.get_rust_tokenizer()

        lowerCAmelCase__	      =   "UNwant\u00E9d,running"

        lowerCAmelCase__	      =   tokenizer.tokenize(_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.tokenize(_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)

        lowerCAmelCase__	      =   tokenizer.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)

        lowerCAmelCase__	      =   self.get_rust_tokenizer()
        lowerCAmelCase__	      =   tokenizer.encode(_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.encode(_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)

        # With lower casing
        lowerCAmelCase__	      =   self.get_tokenizer(do_lower_case=_lowerCamelCase)
        lowerCAmelCase__	      =   self.get_rust_tokenizer(do_lower_case=_lowerCamelCase)

        lowerCAmelCase__	      =   "UNwant\u00E9d,running"

        lowerCAmelCase__	      =   tokenizer.tokenize(_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.tokenize(_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)

        lowerCAmelCase__	      =   tokenizer.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)

        lowerCAmelCase__	      =   self.get_rust_tokenizer()
        lowerCAmelCase__	      =   tokenizer.encode(_lowerCamelCase)
        lowerCAmelCase__	      =   rust_tokenizer.encode(_lowerCamelCase)
        self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer()

        self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz')     ,       ['ah', '\u535A', '\u63A8', 'zz'])




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')     ,       ['hello', '!', 'how', 'are', 'you', '?'])
        self.assertListEqual(tokenizer.tokenize('H\u00E9llo')     ,       ['hello'])




 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase     ,       strip_accents=_lowerCamelCase)

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




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase     ,       strip_accents=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')     ,       ['hallo', '!', 'how', 'are', 'you', '?'])
        self.assertListEqual(tokenizer.tokenize('H\u00E9llo')     ,       ['hello'])




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')     ,       ['hallo', '!', 'how', 'are', 'you', '?'])
        self.assertListEqual(tokenizer.tokenize('H\u00E9llo')     ,       ['hello'])




 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  ')     ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?'])




 def 						__snake_case		(     self   :    Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase     ,       strip_accents=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')     ,       ['HäLLo', '!', 'how', 'Are', 'yoU', '?'])




 def 						__snake_case		(     self   :    List[str]):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase     ,       strip_accents=_lowerCamelCase)

        self.assertListEqual(
            tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  ')     ,       ['HaLLo', '!', 'how', 'Are', 'yoU', '?'])




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   BasicTokenizer(do_lower_case=_lowerCamelCase     ,       never_split=['[UNK]'])

        self.assertListEqual(
            tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]')     ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]'])




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

        lowerCAmelCase__	      =   {}
        for i, token in enumerate(_lowerCamelCase):
               lowerCAmelCase__	      =   i
        lowerCAmelCase__	      =   WordpieceTokenizer(vocab=_lowerCamelCase     ,       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 						__snake_case		(     self   :    Tuple):







        '''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 						__snake_case		(     self   :    List[Any]):







        '''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 						__snake_case		(     self   :    Tuple):







        '''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 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   self.get_tokenizer()
        lowerCAmelCase__	      =   self.get_rust_tokenizer()

        # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
        self.assertListEqual([tokenizer.tokenize(_lowerCamelCase) for t in ['Test', '\xad', 'test']]     ,       [['[UNK]'], [], ['[UNK]']])

        self.assertListEqual(
            [rust_tokenizer.tokenize(_lowerCamelCase) for t in ['Test', '\xad', 'test']]     ,       [['[UNK]'], [], ['[UNK]']])




 @slow
 def 						__snake_case		(     self   :    List[str]):







        '''simple docstring'''



        lowerCAmelCase__	      =   self.tokenizer_class.from_pretrained('google/electra-base-discriminator')

        lowerCAmelCase__	      =   tokenizer.encode('sequence builders'     ,       add_special_tokens=_lowerCamelCase)
        lowerCAmelCase__	      =   tokenizer.encode('multi-sequence build'     ,       add_special_tokens=_lowerCamelCase)

        lowerCAmelCase__	      =   tokenizer.build_inputs_with_special_tokens(_lowerCamelCase)
        lowerCAmelCase__	      =   tokenizer.build_inputs_with_special_tokens(_lowerCamelCase     ,       _lowerCamelCase)

        assert encoded_sentence == [101] + text + [102]
        assert encoded_pair == [101] + text + [102] + text_a + [102]




 def 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                      lowerCAmelCase__	      =   self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,       **_lowerCamelCase)

                      lowerCAmelCase__	      =   F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
                      lowerCAmelCase__	      =   tokenizer_r.encode_plus(
                          _lowerCamelCase     ,       return_attention_mask=_lowerCamelCase     ,       return_token_type_ids=_lowerCamelCase     ,       return_offsets_mapping=_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase     ,       )

                      lowerCAmelCase__	      =   tokenizer_r.do_lower_case if hasattr(_lowerCamelCase     ,       'do_lower_case') else False
                      lowerCAmelCase__	      =   (
                          [
                              ((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 						__snake_case		(     self   :    Dict):







        '''simple docstring'''



        lowerCAmelCase__	      =   ["的", "人", "有"]
        lowerCAmelCase__	      =   "".join(_lowerCamelCase)
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                      lowerCAmelCase__	      =   True
                      lowerCAmelCase__	      =   self.tokenizer_class.from_pretrained(_lowerCamelCase     ,       **_lowerCamelCase)
                      lowerCAmelCase__	      =   self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,       **_lowerCamelCase)

                      lowerCAmelCase__	      =   tokenizer_p.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
                      lowerCAmelCase__	      =   tokenizer_r.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)

                      lowerCAmelCase__	      =   tokenizer_r.convert_ids_to_tokens(_lowerCamelCase)
                      lowerCAmelCase__	      =   tokenizer_p.convert_ids_to_tokens(_lowerCamelCase)

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

                      lowerCAmelCase__	      =   False
                      lowerCAmelCase__	      =   self.rust_tokenizer_class.from_pretrained(_lowerCamelCase     ,       **_lowerCamelCase)
                      lowerCAmelCase__	      =   self.tokenizer_class.from_pretrained(_lowerCamelCase     ,       **_lowerCamelCase)

                      lowerCAmelCase__	      =   tokenizer_r.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)
                      lowerCAmelCase__	      =   tokenizer_p.encode(_lowerCamelCase     ,       add_special_tokens=_lowerCamelCase)

                      lowerCAmelCase__	      =   tokenizer_r.convert_ids_to_tokens(_lowerCamelCase)
                      lowerCAmelCase__	      =   tokenizer_p.convert_ids_to_tokens(_lowerCamelCase)

                      # it is expected that only the first Chinese character is not preceded by "##".
                      lowerCAmelCase__	      =   [
                          F"""##{token}""" if idx != 0 else token for idx, token in enumerate(_lowerCamelCase)
                      ]
                      self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)
                      self.assertListEqual(_lowerCamelCase     ,       _lowerCamelCase)


import torch

from accelerate import Accelerator, DistributedType
class    _UpperCamelCase:

						def __enter__(					self		:			str			):
													if self.enabled:
																				_UpperCAmelCase  :			int	       =		self.model.no_sync()
																				self.model_sync_obj.__enter__()

													return self

						def __exit__(					self		:			str	,						_lowerCamelCase		:			Union[str, Any]	,						_lowerCamelCase		:			Tuple	,						_lowerCamelCase		:			Optional[Any]			):
													if self.enabled:
																				# Average all models on exit
																				self._sync_and_avg_model_params()
																				self.model_sync_obj.__exit__(_lowerCamelCase	,						_lowerCamelCase	,						_lowerCamelCase			)

						def __init__(					self		:			str	,						_lowerCamelCase		:			Accelerator	,						_lowerCamelCase		:			torch.nn.Module	,						_lowerCamelCase		:			int	,						_lowerCamelCase		:			bool = True			):
													if accelerator.distributed_type not in [
													    DistributedType.NO,
													    DistributedType.MULTI_CPU,
													    DistributedType.MULTI_GPU,
													]:
																				raise NotImplementedError("LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)"			)
													_UpperCAmelCase  :			Any	       =		enabled and accelerator.distributed_type != DistributedType.NO
													_UpperCAmelCase  :			str	       =		0
													if self.enabled:
																				_UpperCAmelCase  :			Tuple	       =		accelerator
																				_UpperCAmelCase  :			List[str]	       =		model
																				_UpperCAmelCase  :			Dict	       =		local_sgd_steps

						def 						a__ (					self		:			Optional[int]			):
													self.num_steps += 1
													if not self.enabled:
																				return

													if self.num_steps % self.local_sgd_steps == 0:
																				self._sync_and_avg_model_params()






						def 						a__ (					self		:			Tuple			):
													self.accelerator.wait_for_everyone()
													with self.accelerator.autocast():
																				for param in self.model.parameters():
																											_UpperCAmelCase  :			Optional[Any]	       =		self.accelerator.reduce(param.data	,						reduction="mean"			)




