



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 			__snake_case   ( SCREAMING_SNAKE_CASE      ,unittest.TestCase):







							'''simple docstring'''






							UpperCamelCase__					:   List[str]       =       SpeechaTextaTokenizer
							UpperCamelCase__					:   List[str]       =       False


							def _a   (				self		):
											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(a_	,	range(len(a_		)		)		)		)

											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(a_		) + """\n"""		)

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


							def _a   (				self		):
											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(a_		)	,	14		)


							def _a   (				self		):
											self.assertEqual(self.get_tokenizer().vocab_size	,	14		)


							def _a   (				self		):
											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(a_		)

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


							def _a   (				self		):
											a__					   =		SpeechaTextaTokenizer.from_pretrained(self.tmpdirname		)

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

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

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

											self.assertIsNotNone(a_		)







							def _a   (				self		):
											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(a_	,	tokenizer.init_kwargs		)









from __future__ import annotations




class 							__A	:





				"""simple docstring"""







				def __init__(					self				,    lowerCamelCase__ = 0       ):




									"""simple docstring"""

									__UpperCamelCase :   str									=value
									__UpperCamelCase :   Node | None									=None
									__UpperCamelCase :   Node | None									=None






def 				A	(			a_				,a_   )	->		Node | None:
					if treea is None:
										return treea
					if treea is None:
										return treea

					__UpperCamelCase :   Dict									=treea.value + treea.value
					__UpperCamelCase :   Any									=merge_two_binary_trees(treea.left				,treea.left   )
					__UpperCamelCase :   Union[str, Any]									=merge_two_binary_trees(treea.right				,treea.right   )
					return treea






def 				A	(			a_   )	->		None:
					if root:
										print(root.value   )
										print_preorder(root.left   )
										print_preorder(root.right   )


if __name__ == "__main__":
							A_			:List[str]	    =		Node(1)
							A_			:Dict	    =		Node(2)
							A_			:str	    =		Node(3)
							A_			:Union[str, Any]	    =		Node(4)

							A_			:Any	    =		Node(2)
							A_			:Tuple	    =		Node(4)
							A_			:Optional[Any]	    =		Node(6)
							A_			:Optional[Any]	    =		Node(9)
							A_			:str	    =		Node(5)

							print('''Tree1 is: ''')
							print_preorder(treea)
							print('''Tree2 is: ''')
							print_preorder(treea)
							A_			:Optional[Any]	    =		merge_two_binary_trees(treea, treea)
							print('''Merged Tree is: ''')
							print_preorder(merged_tree)

