



'''simple docstring'''




import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase				:Optional[int]							       =   get_tests_dir('''fixtures/spiece.model''')







@require_sentencepiece
@require_tokenizers
class       _lowerCAmelCase				(     _a ,     unittest.TestCase					):
	__SCREAMING_SNAKE_CASE  :						Optional[Any]						     =   DebertaVaTokenizer
	__SCREAMING_SNAKE_CASE  :						Any						     =   DebertaVaTokenizerFast
	__SCREAMING_SNAKE_CASE  :						List[str]						     =   True
	__SCREAMING_SNAKE_CASE  :						str						     =   True


	def        _a      (self				):
				super().setUp()

				# We have a SentencePiece fixture for testing
				A_      :		List[Any]      =	DebertaVaTokenizer(__lowerCamelCase			, unk_token="""<unk>"""				)
				tokenizer.save_pretrained(self.tmpdirname				)


	def        _a      (self			, lowercase				):
				A_      :		Any      =	"""this is a test"""
				A_      :		Tuple      =	"""this is a test"""
				return input_text, output_text


	def        _a      (self				):
				A_      :		Any      =	"""<pad>"""
				A_      :		Optional[Any]      =	0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCamelCase				)			, __lowerCamelCase				)
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCamelCase				)			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		Tuple      =	list(self.get_tokenizer().get_vocab().keys()				)
				self.assertEqual(vocab_keys[0]			, """<pad>"""				)
				self.assertEqual(vocab_keys[1]			, """<unk>"""				)
				self.assertEqual(vocab_keys[-1]			, """[PAD]"""				)
				self.assertEqual(len(__lowerCamelCase				)			, 30001				)


	def        _a      (self				):
				self.assertEqual(self.get_tokenizer().vocab_size			, 30000				)


	def        _a      (self				):
				A_      :		List[str]      =	""" \tHeLLo!how  \n Are yoU?  """
				A_      :		Tuple      =	["""▁hello""", """!""", """how""", """▁are""", """▁you""", """?"""]
				# fmt: on

				A_      :		List[Any]      =	DebertaVaTokenizer(__lowerCamelCase			, do_lower_case=__lowerCamelCase				)
				A_      :		Union[str, Any]      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Optional[Any]      =	DebertaVaTokenizerFast(__lowerCamelCase			, do_lower_case=__lowerCamelCase				)
				A_      :		List[str]      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."""				)
	def        _a      (self				):
				pass


	@unittest.skip("""There is an inconsistency between slow and fast tokenizer due to a bug in the fast one."""				)
	def        _a      (self				):
				pass


	def        _a      (self				):
				A_      :		Optional[Any]      =	"""I was born in 92000, and this is falsé."""
				A_      :		str      =	["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
				# fmt: on

				A_      :		Optional[int]      =	DebertaVaTokenizer(__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Any      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Union[str, Any]      =	DebertaVaTokenizerFast(__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Any      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		str      =	"""I was born in 92000, and this is falsé."""
				A_      :		List[str]      =	["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
				# fmt: on

				A_      :		int      =	DebertaVaTokenizer(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Any      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Union[str, Any]      =	DebertaVaTokenizerFast(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		int      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		Any      =	"""I was born in 92000, and this is falsé."""
				A_      :		Optional[int]      =	["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
				# fmt: on

				A_      :		Tuple      =	DebertaVaTokenizer(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Any      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		int      =	DebertaVaTokenizerFast(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Any      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		str      =	"""I was born in 92000, and this is falsé."""
				A_      :		Any      =	["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """▁""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """▁""", """.""", ]
				# fmt: on

				A_      :		List[str]      =	DebertaVaTokenizer(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		List[str]      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Optional[int]      =	DebertaVaTokenizerFast(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		List[str]      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		List[str]      =	""" \tHeLLo!how  \n Are yoU?  """
				A_      :		Dict      =	["""▁""", """<unk>""", """e""", """<unk>""", """o""", """!""", """how""", """▁""", """<unk>""", """re""", """▁yo""", """<unk>""", """?"""]
				# fmt: on

				A_      :		List[str]      =	DebertaVaTokenizer(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Tuple      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Optional[int]      =	DebertaVaTokenizerFast(__lowerCamelCase			, do_lower_case=__lowerCamelCase			, split_by_punct=__lowerCamelCase				)
				A_      :		Optional[int]      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)

				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		List[Any]      =	self.get_tokenizer()
				A_      :		int      =	self.get_rust_tokenizer()

				A_      :		int      =	"""I was born in 92000, and this is falsé."""

				A_      :		Optional[Any]      =	tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)
				A_      :		List[Any]      =	rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Optional[Any]      =	tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				A_      :		str      =	rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		int      =	self.get_rust_tokenizer()
				A_      :		int      =	tokenizer.encode(__lowerCamelCase				)
				A_      :		List[str]      =	rust_tokenizer.encode(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		Optional[Any]      =	"""This is a test"""
				A_      :		List[str]      =	[13, 1, 4398, 25, 21, 1289]
				A_      :		Optional[int]      =	["""▁""", """T""", """his""", """▁is""", """▁a""", """▁test"""]
				A_      :		Tuple      =	["""▁""", """<unk>""", """his""", """▁is""", """▁a""", """▁test"""]

				A_      :		Dict      =	DebertaVaTokenizer(__lowerCamelCase			, keep_accents=__lowerCamelCase				)
				A_      :		Optional[int]      =	DebertaVaTokenizerFast(__lowerCamelCase			, keep_accents=__lowerCamelCase				)

				A_      :		List[str]      =	tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		List[Any]      =	tokenizer.tokenize(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		List[Any]      =	tokenizer.convert_ids_to_tokens(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		int      =	rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		Union[str, Any]      =	rust_tokenizer.tokenize(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		Tuple      =	rust_tokenizer.convert_ids_to_tokens(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				# fmt: off
				A_      :		Optional[int]      =	"""I was born in 92000, and this is falsé."""
				A_      :		Optional[Any]      =	[13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
				A_      :		Any      =	["""▁""", """I""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """.""", ]
				A_      :		List[str]      =	["""▁""", """<unk>""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """.""", ]
				# fmt: on

				A_      :		Tuple      =	tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		Dict      =	tokenizer.tokenize(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		Union[str, Any]      =	tokenizer.convert_ids_to_tokens(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)

				A_      :		Optional[int]      =	rust_tokenizer.encode(__lowerCamelCase			, add_special_tokens=__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		int      =	rust_tokenizer.tokenize(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)
				A_      :		Any      =	rust_tokenizer.convert_ids_to_tokens(__lowerCamelCase				)
				self.assertListEqual(__lowerCamelCase			, __lowerCamelCase				)


	def        _a      (self				):
				A_      :		Optional[int]      =	DebertaVaTokenizer(__lowerCamelCase				)

				A_      :		Optional[Any]      =	tokenizer.encode("""sequence builders"""				)
				A_      :		Optional[int]      =	tokenizer.encode("""multi-sequence build"""				)

				A_      :		List[str]      =	tokenizer.build_inputs_with_special_tokens(__lowerCamelCase				)
				A_      :		Dict      =	tokenizer.build_inputs_with_special_tokens(__lowerCamelCase			, __lowerCamelCase				)

				self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]			, __lowerCamelCase				)
				self.assertEqual(
				    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]			, __lowerCamelCase			, )


	@slow
	def        _a      (self				):
				A_      :		Any      =	{"""input_ids""": [[1, 39867, 36, 19390, 486, 27, 35052, 81436, 18, 60685, 1225, 7, 35052, 81436, 18, 9367, 16899, 18, 15937, 53, 594, 773, 18, 16287, 30465, 36, 15937, 6, 41139, 38, 36979, 60763, 191, 6, 34132, 99, 6, 50538, 390, 43230, 6, 34132, 2779, 20850, 14, 699, 1072, 1194, 36, 382, 10901, 53, 7, 699, 1072, 2084, 36, 20422, 630, 53, 19, 105, 3049, 1896, 1053, 16899, 1506, 11, 37978, 4243, 7, 1237, 31869, 200, 16566, 654, 6, 35052, 81436, 7, 55630, 13593, 4, 2], [1, 26, 15011, 13, 667, 8, 1053, 18, 23611, 1237, 72356, 12820, 34, 104134, 1209, 35, 13313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1232, 2864, 15785, 14951, 105, 5, 8581, 1250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=__lowerCamelCase			, model_name="""microsoft/deberta-v2-xlarge"""			, revision="""ad6e42c1532ddf3a15c39246b63f5559d558b670"""			, )





import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


__magic_name__  :  List[str]					=       logging.get_logger(__name__)  # pylint: disable=invalid-name





class     SCREAMING_SNAKE_CASE__		(_a			):
     def __init__(						self	:		List[Any]       ,						__lowerCamelCase	:		Tuple       ,						__lowerCamelCase	:		List[Any]=7_68						):



       """simple docstring"""
       super().__init__(__lowerCamelCase						)
       lowerCAmelCase__										=      proj_size

       lowerCAmelCase__										=      CLIPVisionModel(__lowerCamelCase						)
       lowerCAmelCase__										=      PaintByExampleMapper(__lowerCamelCase						)
       lowerCAmelCase__										=      nn.LayerNorm(config.hidden_size						)
       lowerCAmelCase__										=      nn.Linear(config.hidden_size       ,						self.proj_size						)

       # uncondition for scaling
       lowerCAmelCase__										=      nn.Parameter(torch.randn((1, 1, self.proj_size)						)						)



     def        A__      (						self	:		Tuple       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		str=False						):



       """simple docstring"""
       lowerCAmelCase__										=      self.model(pixel_values=__lowerCamelCase						)
       lowerCAmelCase__										=      clip_output.pooler_output
       lowerCAmelCase__										=      self.mapper(latent_states[:, None]						)
       lowerCAmelCase__										=      self.final_layer_norm(__lowerCamelCase						)
       lowerCAmelCase__										=      self.proj_out(__lowerCamelCase						)
       if return_uncond_vector:
         return latent_states, self.uncond_vector

       return latent_states





class     SCREAMING_SNAKE_CASE__		(nn.Module			):
     def __init__(						self	:		Optional[Any]       ,						__lowerCamelCase	:		Tuple						):



       """simple docstring"""
       super().__init__()
       lowerCAmelCase__										=      (config.num_hidden_layers + 1) // 5
       lowerCAmelCase__										=      config.hidden_size
       lowerCAmelCase__										=      1
       lowerCAmelCase__										=      nn.ModuleList(
           [
               BasicTransformerBlock(__lowerCamelCase       ,						__lowerCamelCase       ,						__lowerCamelCase       ,						activation_fn='''gelu'''       ,						attention_bias=__lowerCamelCase						)
               for _ in range(__lowerCamelCase						)
           ]						)



     def        A__      (						self	:		str       ,						__lowerCamelCase	:		Optional[Any]						):



       """simple docstring"""
       for block in self.blocks:
         lowerCAmelCase__										=      block(__lowerCamelCase						)

       return hidden_states

