
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 							lowercase   (						_SCREAMING_SNAKE_CASE    ,  unittest.TestCase  ):
		__lowercase			:			Dict      	=							ElectraTokenizer
		__lowercase			:			List[Any]      	=							ElectraTokenizerFast
		__lowercase			:			Optional[int]      	=							True
		__lowercase			:			Dict      	=							True
		__lowercase			:			Tuple      	=							filter_non_english



		def __UpperCamelCase					(					self			)    ->   Optional[Any]:
				"""simple docstring"""
				super().setUp()

				UpperCamelCase            =	[
				    '[UNK]',
				    '[CLS]',
				    '[SEP]',
				    '[PAD]',
				    '[MASK]',
				    'want',
				    '##want',
				    '##ed',
				    'wa',
				    'un',
				    'runn',
				    '##ing',
				    ',',
				    'low',
				    'lowest',
				]
				UpperCamelCase            =	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 __UpperCamelCase					(					self							, A_			)    ->   Optional[Any]:
				"""simple docstring"""
				UpperCamelCase            =	'UNwant\u00E9d,running'
				UpperCamelCase            =	'unwanted, running'
				return input_text, output_text



		def __UpperCamelCase					(					self			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	self.tokenizer_class(self.vocab_file			)

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



		def __UpperCamelCase					(					self			)    ->   Tuple:
				"""simple docstring"""
				if not self.test_rust_tokenizer:
						return

				UpperCamelCase            =	self.get_tokenizer()
				UpperCamelCase            =	self.get_rust_tokenizer()

				UpperCamelCase            =	'UNwant\u00E9d,running'

				UpperCamelCase            =	tokenizer.tokenize(A_			)
				UpperCamelCase            =	rust_tokenizer.tokenize(A_			)
				self.assertListEqual(A_							, A_			)

				UpperCamelCase            =	tokenizer.encode(A_							, add_special_tokens=A_			)
				UpperCamelCase            =	rust_tokenizer.encode(A_							, add_special_tokens=A_			)
				self.assertListEqual(A_							, A_			)

				UpperCamelCase            =	self.get_rust_tokenizer()
				UpperCamelCase            =	tokenizer.encode(A_			)
				UpperCamelCase            =	rust_tokenizer.encode(A_			)
				self.assertListEqual(A_							, A_			)

				# With lower casing
				UpperCamelCase            =	self.get_tokenizer(do_lower_case=A_			)
				UpperCamelCase            =	self.get_rust_tokenizer(do_lower_case=A_			)

				UpperCamelCase            =	'UNwant\u00E9d,running'

				UpperCamelCase            =	tokenizer.tokenize(A_			)
				UpperCamelCase            =	rust_tokenizer.tokenize(A_			)
				self.assertListEqual(A_							, A_			)

				UpperCamelCase            =	tokenizer.encode(A_							, add_special_tokens=A_			)
				UpperCamelCase            =	rust_tokenizer.encode(A_							, add_special_tokens=A_			)
				self.assertListEqual(A_							, A_			)

				UpperCamelCase            =	self.get_rust_tokenizer()
				UpperCamelCase            =	tokenizer.encode(A_			)
				UpperCamelCase            =	rust_tokenizer.encode(A_			)
				self.assertListEqual(A_							, A_			)



		def __UpperCamelCase					(					self			)    ->   Tuple:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer()

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



		def __UpperCamelCase					(					self			)    ->   Optional[int]:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer(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			)    ->   int:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer(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			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer(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			)    ->   List[str]:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer(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			)    ->   Optional[Any]:
				"""simple docstring"""
				UpperCamelCase            =	BasicTokenizer(do_lower_case=A_			)

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



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

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



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

				UpperCamelCase            =	{}
				for i, token in enumerate(A_			):
						UpperCamelCase            =	i
				UpperCamelCase            =	WordpieceTokenizer(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			)    ->   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 __UpperCamelCase					(					self			)    ->   Any:
				"""simple docstring"""
				UpperCamelCase            =	self.get_tokenizer()
				UpperCamelCase            =	self.get_rust_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]']]			)

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



		@slow
		def __UpperCamelCase					(					self			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	self.tokenizer_class.from_pretrained('google/electra-base-discriminator'			)

				UpperCamelCase            =	tokenizer.encode('sequence builders'							, add_special_tokens=A_			)
				UpperCamelCase            =	tokenizer.encode('multi-sequence build'							, add_special_tokens=A_			)

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

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



		def __UpperCamelCase					(					self			)    ->   Optional[int]:
				"""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_			)


from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available


@dataclass
class 							lowercase   (						_SCREAMING_SNAKE_CASE  ):
		__lowercase			:			Union[List[PIL.Image.Image], np.ndarray]


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
					from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
					from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline
