

import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class 					__UpperCamelCase					(       _lowercase	,    unittest.TestCase      ):
	_lowercase	: Tuple												=	BertweetTokenizer
	_lowercase	: List[Any]												=	False







	def 						_SCREAMING_SNAKE_CASE				( self:			int   ):

						'''simple docstring'''





						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						__magic_name__				=     ["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
						__magic_name__				=     dict(zip(UpperCamelCase__	,			range(len(UpperCamelCase__   )   )   )   )
						__magic_name__				=     ["""#version: 0.2""", """a m</w>"""]
						__magic_name__				=     {"""unk_token""": """<unk>"""}

						__magic_name__				=     os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['vocab_file']   )
						__magic_name__				=     os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['merges_file']   )
						with open(self.vocab_file	,			'w'	,			encoding='utf-8'   ) as fp:
											for token in vocab_tokens:
																fp.write(F'{token} {vocab_tokens[token]}\n'   )
						with open(self.merges_file	,			'w'	,			encoding='utf-8'   ) as fp:
											fp.write('\n'.join(UpperCamelCase__   )   )







	def 						_SCREAMING_SNAKE_CASE				( self:			str	,			**__UpperCamelCase:			Union[str, Any]   ):

						'''simple docstring'''





						kwargs.update(self.special_tokens_map   )
						return BertweetTokenizer.from_pretrained(self.tmpdirname	,			**UpperCamelCase__   )







	def 						_SCREAMING_SNAKE_CASE				( self:			int	,			__UpperCamelCase:			Optional[Any]   ):

						'''simple docstring'''





						__magic_name__				=     """I am VinAI Research"""
						__magic_name__				=     """I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
						return input_text, output_text







	def 						_SCREAMING_SNAKE_CASE				( self:			Dict   ):

						'''simple docstring'''





						__magic_name__				=     BertweetTokenizer(self.vocab_file	,			self.merges_file	,			**self.special_tokens_map   )
						__magic_name__				=     """I am VinAI Research"""
						__magic_name__				=     """I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
						__magic_name__				=     tokenizer.tokenize(UpperCamelCase__   )
						self.assertListEqual(UpperCamelCase__	,			UpperCamelCase__   )

						__magic_name__				=     tokens + [tokenizer.unk_token]

						__magic_name__				=     [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__   )	,			UpperCamelCase__   )












'''simple docstring'''







import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
			from PIL import Image

class _lowercase      (							unittest.TestCase							, _lowercase						):




							def 						lowerCamelCase_							(				self:							Tuple	):
														lowerCamelCase__   :      Optional[Any]			    =			load_tool("""image-captioning"""	)
														self.tool.setup()
														lowerCamelCase__   :      Optional[Any]			    =			load_tool("""image-captioning"""     ,				remote=UpperCamelCase__	)




							def 						lowerCamelCase_							(				self:							int	):
														lowerCamelCase__   :      List[Any]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Optional[Any]			    =			self.tool(UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							Union[str, Any]	):
														lowerCamelCase__   :      Tuple			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Dict			    =			self.remote_tool(UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							str	):
														lowerCamelCase__   :      Optional[int]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      str			    =			self.tool(image=UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							Union[str, Any]	):
														lowerCamelCase__   :      Optional[int]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Optional[int]			    =			self.remote_tool(image=UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)

