






"""simple docstring"""
import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin







class 			UpperCamelCase_       (__UpperCAmelCase				,						unittest.TestCase     ):
	__magic_name__	      =				BlenderbotSmallTokenizer
	__magic_name__	      =				False





	def      _SCREAMING_SNAKE_CASE      (      self					: List[str]						)						->			Dict:
				super().setUp()

				UpperCAmelCase_     : Any			     =					["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
				UpperCAmelCase_     : Union[str, Any]			     =					dict(zip(lowerCamelCase__	,	range(len(lowerCamelCase__						)						)						)						)

				UpperCAmelCase_     : List[Any]			     =					["#version: 0.2", "a p", "t e</w>", "ap t</w>", "a d", "ad apt</w>", "a c", "ac t</w>", ""]
				UpperCAmelCase_     : Optional[Any]			     =					{"unk_token": "__unk__", "bos_token": "__start__", "eos_token": "__end__"}

				UpperCAmelCase_     : Dict			     =					os.path.join(self.tmpdirname	,	VOCAB_FILES_NAMES["vocab_file"]						)
				UpperCAmelCase_     : Union[str, Any]			     =					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"	,	encoding="utf-8"						) as fp:
							fp.write("\n".join(lowerCamelCase__						)						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[int]	,	**lowerCAmelCase_					: Any						)						->			Any:
				kwargs.update(self.special_tokens_map						)
				return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname	,	**lowerCamelCase__						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Any	,	lowerCAmelCase_					: Optional[int]						)						->			Tuple:
				UpperCAmelCase_     : Any			     =					"adapt act apte"
				UpperCAmelCase_     : Tuple			     =					"adapt act apte"
				return input_text, output_text





	def      _SCREAMING_SNAKE_CASE      (      self					: List[str]						)						->			Optional[int]:
				UpperCAmelCase_     : Union[str, Any]			     =					BlenderbotSmallTokenizer(self.vocab_file	,	self.merges_file	,	**self.special_tokens_map						)
				UpperCAmelCase_     : int			     =					"adapt act apte"
				UpperCAmelCase_     : Tuple			     =					["adapt", "act", "ap@@", "te"]
				UpperCAmelCase_     : Tuple			     =					tokenizer.tokenize(lowerCamelCase__						)
				self.assertListEqual(lowerCamelCase__	,	lowerCamelCase__						)

				UpperCAmelCase_     : Dict			     =					[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

				UpperCAmelCase_     : Optional[Any]			     =					[0, 1, 2, 3, 4, 5]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__						)	,	lowerCamelCase__						)





	def      _SCREAMING_SNAKE_CASE      (      self					: Union[str, Any]						)						->			Any:
				UpperCAmelCase_     : Union[str, Any]			     =					BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
				assert tok("sam"						).input_ids == [1_384]
				UpperCAmelCase_     : Optional[int]			     =					"I am a small frog."
				UpperCAmelCase_     : Union[str, Any]			     =					tok([src_text]	,	padding=lowerCamelCase__	,	truncation=lowerCamelCase__						)["input_ids"]
				UpperCAmelCase_     : Dict			     =					tok.batch_decode(lowerCamelCase__	,	skip_special_tokens=lowerCamelCase__	,	clean_up_tokenization_spaces=lowerCamelCase__						)[0]
				assert src_text != decoded  # I wish it did!
				assert decoded == "i am a small frog ."





	def      _SCREAMING_SNAKE_CASE      (      self					: int						)						->			int:
				UpperCAmelCase_     : str			     =					BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
				UpperCAmelCase_     : Union[str, Any]			     =					"I am a small frog ."
				UpperCAmelCase_     : Dict			     =					"."
				UpperCAmelCase_     : List[Any]			     =					tok(lowerCamelCase__						)["input_ids"]
				UpperCAmelCase_     : Optional[int]			     =					tok(lowerCamelCase__						)["input_ids"]

				assert encoded[-1] == encoded_dot[0]




"""simple docstring"""






from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass
@dataclass
class 				snake_case       :




					"""simple docstring"""

					snake_case__				    = 42
					snake_case__				    = None
					snake_case__				    = None






lowerCAmelCase__  :  Union[str, Any]						     =	namedtuple('CoinsDistribResult', 'moves excess')



def   a_						(					lowerCamelCase       ):

				if root is None:
								return 0

				# Validation
				def count_nodes(lowerCamelCase       ) -> int:
								if node is None:
												return 0

								return count_nodes(node.left       ) + count_nodes(node.right       ) + 1

				def count_coins(lowerCamelCase       ) -> int:
								if node is None:
												return 0

								return count_coins(node.left       ) + count_coins(node.right       ) + node.data

				if count_nodes(lowerCamelCase       ) != count_coins(lowerCamelCase       ):
								raise ValueError('The nodes number should be same as the number of coins'       )

				# Main calculation
				def get_distrib(lowerCamelCase       ) -> CoinsDistribResult:

								if node is None:
												return CoinsDistribResult(0					,			1       )

								UpperCAmelCase__      ,	UpperCAmelCase__             =							get_distrib(node.left       )
								UpperCAmelCase__      ,	UpperCAmelCase__             =							get_distrib(node.right       )

								UpperCAmelCase__             =							1 - left_distrib_excess
								UpperCAmelCase__             =							1 - right_distrib_excess

								UpperCAmelCase__             =							(
								    left_distrib_moves
								    + right_distrib_moves
								    + abs(lowerCamelCase       )
								    + abs(lowerCamelCase       )
								)
								UpperCAmelCase__             =							node.data - coins_to_left - coins_to_right

								return CoinsDistribResult(lowerCamelCase					,			lowerCamelCase       )

				return get_distrib(lowerCamelCase       )[0]


if __name__ == "__main__":
						import doctest

						doctest.testmod()



