






"""simple docstring"""

import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class 		__lowerCamelCase				( A__ ,							unittest.TestCase			):





		'''simple docstring'''






		a_	:				Optional[int]            =							ProphetNetTokenizer
		a_	:				str            =							False





		def    lowerCamelCase       (   self							:	Dict	):
				super().setUp()

				lowerCAmelCase_   :							Optional[int]									=			[
				    """[UNK]""",
				    """[CLS]""",
				    """[SEP]""",
				    """[PAD]""",
				    """[MASK]""",
				    """want""",
				    """##want""",
				    """##ed""",
				    """wa""",
				    """un""",
				    """runn""",
				    """##ing""",
				    """,""",
				    """low""",
				    """lowest""",
				]
				lowerCAmelCase_   :							Union[str, Any]									=			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    lowerCamelCase       (   self							:	Optional[int]						,			a_							:	List[Any]	):
				lowerCAmelCase_   :							int									=			"""UNwant\u00E9d,running"""
				lowerCAmelCase_   :							Dict									=			"""unwanted, running"""
				return input_text, output_text





		def    lowerCamelCase       (   self							:	Union[str, Any]	):
				lowerCAmelCase_   :							List[Any]									=			self.tokenizer_class(self.vocab_file	)

				lowerCAmelCase_   :							List[Any]									=			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    lowerCamelCase       (   self							:	str	):
				lowerCAmelCase_   :							Dict									=			BasicTokenizer()

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





		def    lowerCamelCase       (   self							:	Optional[Any]	):
				lowerCAmelCase_   :							Optional[Any]									=			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    lowerCamelCase       (   self							:	List[str]	):
				lowerCAmelCase_   :							Dict									=			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    lowerCamelCase       (   self							:	Optional[int]	):
				lowerCAmelCase_   :							List[str]									=			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    lowerCamelCase       (   self							:	Union[str, Any]	):
				lowerCAmelCase_   :							List[str]									=			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    lowerCamelCase       (   self							:	List[str]	):
				lowerCAmelCase_   :							int									=			BasicTokenizer(do_lower_case=a_	)

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





		def    lowerCamelCase       (   self							:	str	):
				lowerCAmelCase_   :							Tuple									=			BasicTokenizer(do_lower_case=a_						,			strip_accents=a_	)

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





		def    lowerCamelCase       (   self							:	Dict	):
				lowerCAmelCase_   :							str									=			BasicTokenizer(do_lower_case=a_						,			strip_accents=a_	)

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





		def    lowerCamelCase       (   self							:	List[Any]	):
				lowerCAmelCase_   :							str									=			BasicTokenizer(do_lower_case=a_						,			never_split=["[UNK]"]	)

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





		def    lowerCamelCase       (   self							:	List[Any]	):
				lowerCAmelCase_   :							Union[str, Any]									=			["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

				lowerCAmelCase_   :							Optional[Any]									=			{}
				for i, token in enumerate(a_	):
						lowerCAmelCase_   :							Union[str, Any]									=			i
				lowerCAmelCase_   :							List[str]									=			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"]	)





		@require_torch
		def    lowerCamelCase       (   self							:	List[Any]	):
				lowerCAmelCase_   :							Union[str, Any]									=			self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

				lowerCAmelCase_   :							Tuple									=			["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
				lowerCAmelCase_   :							Union[str, Any]									=			[10_37, 21_46, 2_04_23, 20_05, 76_80, 78_49, 39_89, 10_12, 1_02]
				lowerCAmelCase_   :							Optional[Any]									=			tokenizer(a_						,			padding=a_						,			return_tensors="pt"	)
				self.assertIsInstance(a_						,			a_	)
				lowerCAmelCase_   :							Optional[int]									=			list(batch.input_ids.numpy()[0]	)
				self.assertListEqual(a_						,			a_	)

				self.assertEqual((2, 9)						,			batch.input_ids.shape	)
				self.assertEqual((2, 9)						,			batch.attention_mask.shape	)





		def    lowerCamelCase       (   self							:	str	):
				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    lowerCamelCase       (   self							:	Dict	):
				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    lowerCamelCase       (   self							:	Union[str, Any]	):
				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(" "	)	)





		@slow
		def    lowerCamelCase       (   self							:	Optional[int]	):
				lowerCAmelCase_   :							Optional[int]									=			self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

				lowerCAmelCase_   :							List[Any]									=			tokenizer.encode("sequence builders"						,			add_special_tokens=a_	)
				lowerCAmelCase_   :							Optional[int]									=			tokenizer.encode("multi-sequence build"						,			add_special_tokens=a_	)

				lowerCAmelCase_   :							Optional[Any]									=			tokenizer.build_inputs_with_special_tokens(a_	)
				lowerCAmelCase_   :							Tuple									=			tokenizer.build_inputs_with_special_tokens(a_						,			a_	)

				assert encoded_sentence == text + [1_02]
				assert encoded_pair == text + [1_02] + text_a + [1_02]


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase  :					List[str]						    =							logging.get_logger(__name__)

lowercase  :					Any						    =							{
    """uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-pre""": """https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-vcr""": """https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-pre""": """https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-nlvr2""": """https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-pre""": """https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"""
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}

class __snake_case		(      lowerCAmelCase     ):
    _a		:						Union[str, Any]=				"visual_bert"
    def __init__(  self		,snake_case=30522		,snake_case=768		,snake_case=512		,snake_case=12		,snake_case=12		,snake_case=3072		,snake_case="gelu"		,snake_case=0.1		,snake_case=0.1		,snake_case=512		,snake_case=2		,snake_case=0.02		,snake_case=1e-12		,snake_case=False		,snake_case=True		,snake_case=1		,snake_case=0		,snake_case=2		,**snake_case		,):



           '''simple docstring'''







           super().__init__(pad_token_id=snake_case		,bos_token_id=snake_case		,eos_token_id=snake_case		,**snake_case      )

           lowercase							:     Tuple       	=      vocab_size
           lowercase							:     int       	=      max_position_embeddings
           lowercase							:     Optional[Any]       	=      hidden_size
           lowercase							:     int       	=      visual_embedding_dim
           lowercase							:     Tuple       	=      num_hidden_layers
           lowercase							:     str       	=      num_attention_heads
           lowercase							:     Optional[Any]       	=      intermediate_size
           lowercase							:     str       	=      hidden_act
           lowercase							:     Tuple       	=      hidden_dropout_prob
           lowercase							:     List[Any]       	=      attention_probs_dropout_prob
           lowercase							:     Union[str, Any]       	=      initializer_range
           lowercase							:     int       	=      type_vocab_size
           lowercase							:     Union[str, Any]       	=      layer_norm_eps
           lowercase							:     Union[str, Any]       	=      bypass_transformer
           lowercase							:     int       	=      special_visual_initialize
