



'''simple docstring'''





import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin



class 			_lowercase							(     lowerCAmelCase,   unittest.TestCase			):





	"""simple docstring"""
	__A					=							SpeechaTextaTokenizer
	__A					=							False




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						super().setUp()

						a        =     "<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab".split(" "	)
						a        =     ["he re</w> 123", "here a 1456"]
						a        =     dict(zip(lowerCamelCase_	, range(len(lowerCamelCase_	)	)	)	)

						a        =     {"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

						a        =     tempfile.mkdtemp()
						a        =     os.path.join(self.tmpdirname	, VOCAB_FILES_NAMES["vocab_file"]	)
						a        =     os.path.join(self.tmpdirname	, VOCAB_FILES_NAMES["merges_file"]	)

						with open(self.vocab_file	, "w"	, encoding="utf-8"	) as fp:
											fp.write(json.dumps(lowerCamelCase_	) + "\n"	)

						with open(self.merges_file	, "w"	) as fp:
											fp.write("\n".join(lowerCamelCase_	)	)




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     list(self.get_tokenizer().get_vocab().keys()	)

						self.assertEqual(vocab_keys[0]	, "<s>"	)
						self.assertEqual(vocab_keys[1]	, "<pad>"	)
						self.assertEqual(vocab_keys[-1]	, "vocab"	)
						self.assertEqual(len(lowerCamelCase_	)	, 14	)




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						self.assertEqual(self.get_tokenizer().vocab_size	, 14	)




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

						# make sure @@ is correctly concatenated
						a        =     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
						a        =     tokenizer.decode(lowerCamelCase_	)

						self.assertTrue(output_string == "herecouple words ofthe"	)




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						a        =     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

						with tempfile.TemporaryDirectory() as tmp_dirname:
											tokenizer.save_pretrained(lowerCamelCase_	)
											os.remove(os.path.join(lowerCamelCase_	, "merges.txt"	)	)

											# load tokenizer without merges file should not throw an error
											a        =     SpeechaTextaTokenizer.from_pretrained(lowerCamelCase_	)

						with tempfile.TemporaryDirectory() as tmp_dirname:
											# save tokenizer and load again
											tokenizer.save_pretrained(lowerCamelCase_	)
											a        =     SpeechaTextaTokenizer.from_pretrained(lowerCamelCase_	)

						self.assertIsNotNone(lowerCamelCase_	)




	def   UpperCamelCase_ (self	):
						"""simple docstring"""

						if not self.test_slow_tokenizer:
											return

						a        =     inspect.signature(self.tokenizer_class.__init__	)
						a        =     self.get_tokenizer()

						for parameter_name, parameter in signature.parameters.items():
											if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																self.assertIn(lowerCamelCase_	, tokenizer.init_kwargs	)





import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


_lowercase:				Optional[int]       =	logging.get_logger(__name__)



class 			_lowercase							(     lowerCAmelCase			):





	"""simple docstring"""




	def __init__(self	, *lowerCamelCase_	, **lowerCamelCase_	):
						"""simple docstring"""

						warnings.warn(
						    "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
						    " Please use DetrImageProcessor instead."	, lowerCamelCase_	, )
						super().__init__(*lowerCamelCase_	, **lowerCamelCase_	)
