


import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class     UpperCamelCase(  _a     ,							unittest.TestCase   ):
					snake_case_		:				Optional[int]										=	XLMTokenizer
					snake_case_		:				List[Any]										=	False


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]						)			->	int:




											'''simple docstring'''

											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											__snake_case				=		[
											    """l""",
											    """o""",
											    """w""",
											    """e""",
											    """r""",
											    """s""",
											    """t""",
											    """i""",
											    """d""",
											    """n""",
											    """w</w>""",
											    """r</w>""",
											    """t</w>""",
											    """lo""",
											    """low""",
											    """er</w>""",
											    """low</w>""",
											    """lowest</w>""",
											    """newer</w>""",
											    """wider</w>""",
											    """<unk>""",
											]
											__snake_case				=		dict(zip(A__     ,    range(len(A__						)						)						)						)
											__snake_case				=		["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["vocab_file"]						)
											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["merges_file"]						)
											with open(self.vocab_file     ,    "w"						) as fp:
																	fp.write(json.dumps(A__						)						)
											with open(self.merges_file     ,    "w"						) as fp:
																	fp.write("\n".join(A__						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		Tuple						)			->	List[Any]:




											'''simple docstring'''

											__snake_case				=		"""lower newer"""
											__snake_case				=		"""lower newer"""
											return input_text, output_text


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	str:




											'''simple docstring'''

											__snake_case				=		XLMTokenizer(self.vocab_file     ,    self.merges_file						)

											__snake_case				=		"""lower"""
											__snake_case				=		["""low""", """er</w>"""]
											__snake_case				=		tokenizer.tokenize(A__						)
											self.assertListEqual(A__     ,    A__						)

											__snake_case				=		tokens + ["""<unk>"""]
											__snake_case				=		[1_4, 1_5, 2_0]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(A__						)     ,    A__						)






					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	int:




											'''simple docstring'''

											__snake_case				=		XLMTokenizer.from_pretrained("xlm-mlm-en-2048"						)

											__snake_case				=		tokenizer.encode("sequence builders"     ,    add_special_tokens=A__						)
											__snake_case				=		tokenizer.encode("multi-sequence build"     ,    add_special_tokens=A__						)

											__snake_case				=		tokenizer.build_inputs_with_special_tokens(A__						)
											__snake_case				=		tokenizer.build_inputs_with_special_tokens(A__     ,    A__						)

											assert encoded_sentence == [0] + text + [1]
											assert encoded_pair == [0] + text + [1] + text_a + [1]










from __future__ import annotations

from collections.abc import Iterator






class     UpperCamelCase:


					def __init__(						self	:		Union[str, Any]     ,    SCREAMING_SNAKE_CASE	:		int						)			->	None:




											'''simple docstring'''

											__snake_case				=		value
											__snake_case				=		None
											__snake_case				=		None






class     UpperCamelCase:


					def __init__(						self	:		int     ,    SCREAMING_SNAKE_CASE	:		Node						)			->	None:




											'''simple docstring'''

											__snake_case				=		tree


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]     ,    SCREAMING_SNAKE_CASE	:		Node | None						)			->	int:




											'''simple docstring'''

											if node is None:
																	return 0
											return node.value + (
											    self.depth_first_search(node.left						) + self.depth_first_search(node.right						)
											)






					def __iter__(						self	:		int						)			->	Iterator[int]:




											'''simple docstring'''

											yield self.depth_first_search(self.tree						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()





