



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 						__a (     SCREAMING_SNAKE_CASE	,    unittest.TestCase				):
	SCREAMING_SNAKE_CASE       =       RoCBertTokenizer
	SCREAMING_SNAKE_CASE       =       None
	SCREAMING_SNAKE_CASE       =       False
	SCREAMING_SNAKE_CASE       =       True
	SCREAMING_SNAKE_CASE       =       filter_non_english



	def 		UpperCamelCase							(						self							:    Any)->							str:
						super().setUp()

						__lowerCAmelCase	   =["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
						__lowerCAmelCase	   ={}
						__lowerCAmelCase	   ={}
						for i, value in enumerate(snake_case_):
											__lowerCAmelCase	   =i
											__lowerCAmelCase	   =i
						__lowerCAmelCase	   =os.path.join(self.tmpdirname				,	VOCAB_FILES_NAMES["""vocab_file"""])
						__lowerCAmelCase	   =os.path.join(self.tmpdirname				,	VOCAB_FILES_NAMES["""word_shape_file"""])
						__lowerCAmelCase	   =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(snake_case_				,	snake_case_				,	ensure_ascii=snake_case_)
						with open(self.word_pronunciation_file				,	"""w"""				,	encoding="""utf-8""") as word_pronunciation_writer:
											json.dump(snake_case_				,	snake_case_				,	ensure_ascii=snake_case_)



	def 		UpperCamelCase							(						self							:    Any)->							Union[str, Any]:
						__lowerCAmelCase	   =self.tokenizer_class(self.vocab_file				,	self.word_shape_file				,	self.word_pronunciation_file)

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



	def 		UpperCamelCase							(						self							:    Tuple)->							Tuple:
						__lowerCAmelCase	   =RoCBertBasicTokenizer()

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



	def 		UpperCamelCase							(						self							:    int)->							Union[str, Any]:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_)

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



	def 		UpperCamelCase							(						self							:    Optional[int])->							str:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_				,	strip_accents=snake_case_)

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



	def 		UpperCamelCase							(						self							:    Union[str, Any])->							Tuple:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_				,	strip_accents=snake_case_)

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



	def 		UpperCamelCase							(						self							:    Dict)->							List[Any]:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_)

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



	def 		UpperCamelCase							(						self							:    Optional[int])->							Dict:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_)

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



	def 		UpperCamelCase							(						self							:    Tuple)->							Tuple:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_				,	strip_accents=snake_case_)

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



	def 		UpperCamelCase							(						self							:    str)->							Any:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_				,	strip_accents=snake_case_)

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



	def 		UpperCamelCase							(						self							:    int)->							List[Any]:
						__lowerCAmelCase	   =RoCBertBasicTokenizer(do_lower_case=snake_case_				,	never_split=["""[UNK]"""])

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



	def 		UpperCamelCase							(						self							:    Union[str, Any])->							Any:
						__lowerCAmelCase	   =["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

						__lowerCAmelCase	   ={}
						for i, token in enumerate(snake_case_):
											__lowerCAmelCase	   =i
						__lowerCAmelCase	   =RoCBertWordpieceTokenizer(vocab=snake_case_				,	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							:    Any)->							Optional[int]:
						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)->							Any:
						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])->							str:
						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							:    Union[str, Any])->							int:
						__lowerCAmelCase	   =self.get_tokenizer()

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

						if self.test_rust_tokenizer:
											__lowerCAmelCase	   =self.get_rust_tokenizer()
											self.assertListEqual(
											    [rust_tokenizer.tokenize(snake_case_) for t in ["""Test""", """\xad""", """test"""]]				,	[["""[UNK]"""], [], ["""[UNK]"""]])



	def 		UpperCamelCase							(						self							:    Optional[Any])->							Optional[Any]:
						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(snake_case_				,	**snake_case_)

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

																__lowerCAmelCase	   =tokenizer_r.do_lower_case if hasattr(snake_case_				,	"""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 		UpperCamelCase							(						self							:    str)->							str:
						__lowerCAmelCase	   =["""的""", """人""", """有"""]
						__lowerCAmelCase	   ="""""".join(snake_case_)
						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(snake_case_				,	**snake_case_)
																__lowerCAmelCase	   =self.rust_tokenizer_class.from_pretrained(snake_case_				,	**snake_case_)

																__lowerCAmelCase	   =tokenizer_p.encode(snake_case_				,	add_special_tokens=snake_case_)
																__lowerCAmelCase	   =tokenizer_r.encode(snake_case_				,	add_special_tokens=snake_case_)

																__lowerCAmelCase	   =tokenizer_r.convert_ids_to_tokens(snake_case_)
																__lowerCAmelCase	   =tokenizer_p.convert_ids_to_tokens(snake_case_)

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

																__lowerCAmelCase	   =False
																__lowerCAmelCase	   =self.rust_tokenizer_class.from_pretrained(snake_case_				,	**snake_case_)
																__lowerCAmelCase	   =self.tokenizer_class.from_pretrained(snake_case_				,	**snake_case_)

																__lowerCAmelCase	   =tokenizer_r.encode(snake_case_				,	add_special_tokens=snake_case_)
																__lowerCAmelCase	   =tokenizer_p.encode(snake_case_				,	add_special_tokens=snake_case_)

																__lowerCAmelCase	   =tokenizer_r.convert_ids_to_tokens(snake_case_)
																__lowerCAmelCase	   =tokenizer_p.convert_ids_to_tokens(snake_case_)

																# 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(snake_case_)
																]
																self.assertListEqual(snake_case_				,	snake_case_)
																self.assertListEqual(snake_case_				,	snake_case_)



	@slow
	def 		UpperCamelCase							(						self							:    Dict)->							Tuple:
						__lowerCAmelCase	   =self.tokenizer_class(self.vocab_file				,	self.word_shape_file				,	self.word_pronunciation_file)

						__lowerCAmelCase	   =tokenizer.encode("""你好"""				,	add_special_tokens=snake_case_)
						__lowerCAmelCase	   =tokenizer.encode("""你是谁"""				,	add_special_tokens=snake_case_)

						__lowerCAmelCase	   =tokenizer.build_inputs_with_special_tokens(snake_case_)
						__lowerCAmelCase	   =tokenizer.build_inputs_with_special_tokens(snake_case_				,	snake_case_)

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



	def 		UpperCamelCase							(						self							:    Optional[Any])->							str:
						__lowerCAmelCase	   =self.get_tokenizers(do_lower_case=snake_case_)
						for tokenizer in tokenizers:
											with self.subTest(F"""{tokenizer.__class__.__name__}"""):
																__lowerCAmelCase	   ="""你好，你是谁"""
																__lowerCAmelCase	   =tokenizer.tokenize(snake_case_)
																__lowerCAmelCase	   =tokenizer.convert_tokens_to_ids(snake_case_)
																__lowerCAmelCase	   =tokenizer.convert_tokens_to_shape_ids(snake_case_)
																__lowerCAmelCase	   =tokenizer.convert_tokens_to_pronunciation_ids(snake_case_)
																__lowerCAmelCase	   =tokenizer.prepare_for_model(
																    snake_case_				,	snake_case_				,	snake_case_				,	add_special_tokens=snake_case_)

																__lowerCAmelCase	   =tokenizer.encode_plus(snake_case_				,	add_special_tokens=snake_case_)

																self.assertEqual(snake_case_				,	snake_case_)









import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('''9.1.0'''):
				lowercase_	       =			{
				    '''linear''': PIL.Image.Resampling.BILINEAR,
				    '''bilinear''': PIL.Image.Resampling.BILINEAR,
				    '''bicubic''': PIL.Image.Resampling.BICUBIC,
				    '''lanczos''': PIL.Image.Resampling.LANCZOS,
				    '''nearest''': PIL.Image.Resampling.NEAREST,
				}
else:
				lowercase_	       =			{
				    '''linear''': PIL.Image.LINEAR,
				    '''bilinear''': PIL.Image.BILINEAR,
				    '''bicubic''': PIL.Image.BICUBIC,
				    '''lanczos''': PIL.Image.LANCZOS,
				    '''nearest''': PIL.Image.NEAREST,
				}






def 					__lowerCAmelCase		(  __lowerCamelCase	:    List[str]	)  ->						int:
					__lowerCAmelCase	   =(images / 2 + 0.5).clamp(0				,   1	)
					__lowerCAmelCase	   =images.cpu().permute(0				,   2				,   3				,   1	).float().numpy()
					__lowerCAmelCase	   =numpy_to_pil(__lowerCamelCase	)
					return images






def 					__lowerCAmelCase		(  __lowerCamelCase	:    str	)  ->						str:
					if images.ndim == 3:
										__lowerCAmelCase	   =images[None, ...]
					__lowerCAmelCase	   =(images * 255).round().astype("""uint8"""	)
					if images.shape[-1] == 1:
										# special case for grayscale (single channel) images
										__lowerCAmelCase	   =[Image.fromarray(image.squeeze()				,   mode="""L"""	) for image in images]
					else:
										__lowerCAmelCase	   =[Image.fromarray(__lowerCamelCase	) for image in images]

					return pil_images




