
"""simple docstring"""




import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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     lowercase (		_SCREAMING_SNAKE_CASE  ,       unittest.TestCase       ):
		__lowercase	:	Union[str, Any]     					=    RoCBertTokenizer
		__lowercase	:	Dict     					=    None
		__lowercase	:	Optional[Any]     					=    False
		__lowercase	:	Optional[Any]     					=    True
		__lowercase	:	Tuple     					=    filter_non_english



		def __UpperCamelCase			(			self	)  -> Tuple:
				"""simple docstring"""
				super().setUp()

				UpperCamelCase          =					['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
				UpperCamelCase          =					{}
				UpperCamelCase          =					{}
				for i, value in enumerate(A_	):
						UpperCamelCase          =					i
						UpperCamelCase          =					i
				UpperCamelCase          =					os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['vocab_file']	)
				UpperCamelCase          =					os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['word_shape_file']	)
				UpperCamelCase          =					os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['word_pronunciation_file']	)
				with open(self.vocab_file    ,				'w'    ,				encoding='utf-8'	) as vocab_writer:
						vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]	)	)
				with open(self.word_shape_file    ,				'w'    ,				encoding='utf-8'	) as word_shape_writer:
						json.dump(A_    ,				A_    ,				ensure_ascii=A_	)
				with open(self.word_pronunciation_file    ,				'w'    ,				encoding='utf-8'	) as word_pronunciation_writer:
						json.dump(A_    ,				A_    ,				ensure_ascii=A_	)



		def __UpperCamelCase			(			self	)  -> Any:
				"""simple docstring"""
				UpperCamelCase          =					self.tokenizer_class(self.vocab_file    ,				self.word_shape_file    ,				self.word_pronunciation_file	)

				UpperCamelCase          =					tokenizer.tokenize('你好[SEP]你是谁'	)
				self.assertListEqual(A_    ,				['你', '好', '[SEP]', '你', '是', '谁']	)
				self.assertListEqual(tokenizer.convert_tokens_to_ids(A_	)    ,				[5, 6, 2, 5, 7, 8]	)
				self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(A_	)    ,				[5, 6, 2, 5, 7, 8]	)
				self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(A_	)    ,				[5, 6, 2, 5, 7, 8]	)



		def __UpperCamelCase			(			self	)  -> Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer()

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



		def __UpperCamelCase			(			self	)  -> List[str]:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_	)

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



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_    ,				strip_accents=A_	)

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



		def __UpperCamelCase			(			self	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_    ,				strip_accents=A_	)

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



		def __UpperCamelCase			(			self	)  -> Dict:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_	)

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



		def __UpperCamelCase			(			self	)  -> str:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_	)

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



		def __UpperCamelCase			(			self	)  -> Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_    ,				strip_accents=A_	)

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



		def __UpperCamelCase			(			self	)  -> Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_    ,				strip_accents=A_	)

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



		def __UpperCamelCase			(			self	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					RoCBertBasicTokenizer(do_lower_case=A_    ,				never_split=['[UNK]']	)

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



		def __UpperCamelCase			(			self	)  -> Optional[int]:
				"""simple docstring"""
				UpperCamelCase          =					['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

				UpperCamelCase          =					{}
				for i, token in enumerate(A_	):
						UpperCamelCase          =					i
				UpperCamelCase          =					RoCBertWordpieceTokenizer(vocab=A_    ,				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 __UpperCamelCase			(			self	)  -> Optional[int]:
				"""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 __UpperCamelCase			(			self	)  -> int:
				"""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 __UpperCamelCase			(			self	)  -> Optional[int]:
				"""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 __UpperCamelCase			(			self	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					self.get_tokenizer()

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

				if self.test_rust_tokenizer:
						UpperCamelCase          =					self.get_rust_tokenizer()
						self.assertListEqual(
						    [rust_tokenizer.tokenize(A_	) for t in ['Test', '\xad', 'test']]    ,				[['[UNK]'], [], ['[UNK]']]	)



		def __UpperCamelCase			(			self	)  -> Dict:
				"""simple docstring"""
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
								UpperCamelCase          =					self.rust_tokenizer_class.from_pretrained(A_    ,				**A_	)

								UpperCamelCase          =					F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
								UpperCamelCase          =					tokenizer_r.encode_plus(
								    A_    ,				return_attention_mask=A_    ,				return_token_type_ids=A_    ,				return_offsets_mapping=A_    ,				add_special_tokens=A_    ,				)

								UpperCamelCase          =					tokenizer_r.do_lower_case if hasattr(A_    ,				'do_lower_case'	) else False
								UpperCamelCase          =					(
								    [
								        ((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 __UpperCamelCase			(			self	)  -> List[str]:
				"""simple docstring"""
				UpperCamelCase          =					['的', '人', '有']
				UpperCamelCase          =					''.join(A_	)
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
						with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
								UpperCamelCase          =					True
								UpperCamelCase          =					self.tokenizer_class.from_pretrained(A_    ,				**A_	)
								UpperCamelCase          =					self.rust_tokenizer_class.from_pretrained(A_    ,				**A_	)

								UpperCamelCase          =					tokenizer_p.encode(A_    ,				add_special_tokens=A_	)
								UpperCamelCase          =					tokenizer_r.encode(A_    ,				add_special_tokens=A_	)

								UpperCamelCase          =					tokenizer_r.convert_ids_to_tokens(A_	)
								UpperCamelCase          =					tokenizer_p.convert_ids_to_tokens(A_	)

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

								UpperCamelCase          =					False
								UpperCamelCase          =					self.rust_tokenizer_class.from_pretrained(A_    ,				**A_	)
								UpperCamelCase          =					self.tokenizer_class.from_pretrained(A_    ,				**A_	)

								UpperCamelCase          =					tokenizer_r.encode(A_    ,				add_special_tokens=A_	)
								UpperCamelCase          =					tokenizer_p.encode(A_    ,				add_special_tokens=A_	)

								UpperCamelCase          =					tokenizer_r.convert_ids_to_tokens(A_	)
								UpperCamelCase          =					tokenizer_p.convert_ids_to_tokens(A_	)

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



		@slow
		def __UpperCamelCase			(			self	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					self.tokenizer_class(self.vocab_file    ,				self.word_shape_file    ,				self.word_pronunciation_file	)

				UpperCamelCase          =					tokenizer.encode('你好'    ,				add_special_tokens=A_	)
				UpperCamelCase          =					tokenizer.encode('你是谁'    ,				add_special_tokens=A_	)

				UpperCamelCase          =					tokenizer.build_inputs_with_special_tokens(A_	)
				UpperCamelCase          =					tokenizer.build_inputs_with_special_tokens(A_    ,				A_	)

				assert encoded_sentence == [1] + text + [2]
				assert encoded_pair == [1] + text + [2] + text_a + [2]



		def __UpperCamelCase			(			self	)  -> List[str]:
				"""simple docstring"""
				UpperCamelCase          =					self.get_tokenizers(do_lower_case=A_	)
				for tokenizer in tokenizers:
						with self.subTest(F'''{tokenizer.__class__.__name__}'''	):
								UpperCamelCase          =					'你好，你是谁'
								UpperCamelCase          =					tokenizer.tokenize(A_	)
								UpperCamelCase          =					tokenizer.convert_tokens_to_ids(A_	)
								UpperCamelCase          =					tokenizer.convert_tokens_to_shape_ids(A_	)
								UpperCamelCase          =					tokenizer.convert_tokens_to_pronunciation_ids(A_	)
								UpperCamelCase          =					tokenizer.prepare_for_model(
								    A_    ,				A_    ,				A_    ,				add_special_tokens=A_	)

								UpperCamelCase          =					tokenizer.encode_plus(A_    ,				add_special_tokens=A_	)

								self.assertEqual(A_    ,				A_	)


from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin


class     lowercase (		_SCREAMING_SNAKE_CASE  ,       _SCREAMING_SNAKE_CASE       ):



		@register_to_config
		def __init__(			self    ,				A_ = 768    ,				)  -> List[Any]:
				"""simple docstring"""
				super().__init__()

				UpperCamelCase          =					nn.Parameter(torch.zeros(1    ,				A_	)	)
				UpperCamelCase          =					nn.Parameter(torch.ones(1    ,				A_	)	)



		def __UpperCamelCase			(			self    ,				A_ = None    ,				A_ = None    ,				)  -> Any:
				"""simple docstring"""
				UpperCamelCase          =					nn.Parameter(self.mean.to(A_	).to(A_	)	)
				UpperCamelCase          =					nn.Parameter(self.std.to(A_	).to(A_	)	)
				return self



		def __UpperCamelCase			(			self    ,				A_	)  -> Dict:
				"""simple docstring"""
				UpperCamelCase          =					(embeds - self.mean) * 1.0 / self.std
				return embeds



		def __UpperCamelCase			(			self    ,				A_	)  -> Dict:
				"""simple docstring"""
				UpperCamelCase          =					(embeds * self.std) + self.mean
				return embeds
