



"""simple docstring"""






import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class      A__  (    __SCREAMING_SNAKE_CASE    ,						unittest.TestCase				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      CTRLTokenizer
	SCREAMING_SNAKE_CASE        =      False
	SCREAMING_SNAKE_CASE        =      False

	def 				_SCREAMING_SNAKE_CASE  (	self:						Optional[int])							->			Optional[int]:

				"""simple docstring"""

				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				__lowerCAmelCase :    List[Any]				=			["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
				__lowerCAmelCase :    List[str]				=			dict(zip(_SCREAMING_SNAKE_CASE			,     range(len(_SCREAMING_SNAKE_CASE))))
				__lowerCAmelCase :    Optional[Any]				=			["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
				__lowerCAmelCase :    str				=			{"unk_token": "<unk>"}

				__lowerCAmelCase :    Optional[Any]				=			os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["vocab_file"])
				__lowerCAmelCase :    Optional[int]				=			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(_SCREAMING_SNAKE_CASE) + "\n")
				with open(self.merges_file			,     "w"			,     encoding="utf-8") as fp:
							fp.write("\n".join(_SCREAMING_SNAKE_CASE))

	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str]			,     **_SCREAMING_SNAKE_CASE:						Dict)							->			str:

				"""simple docstring"""

				kwargs.update(self.special_tokens_map)
				return CTRLTokenizer.from_pretrained(self.tmpdirname			,     **_SCREAMING_SNAKE_CASE)

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						Any)							->			List[str]:

				"""simple docstring"""

				__lowerCAmelCase :    Any				=			"adapt react readapt apt"
				__lowerCAmelCase :    Union[str, Any]				=			"adapt react readapt apt"
				return input_text, output_text







	def 				_SCREAMING_SNAKE_CASE  (	self:						List[str])							->			str:

				"""simple docstring"""

				__lowerCAmelCase :    Optional[Any]				=			CTRLTokenizer(self.vocab_file			,     self.merges_file			,     **self.special_tokens_map)
				__lowerCAmelCase :    List[Any]				=			"adapt react readapt apt"
				__lowerCAmelCase :    int				=			"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
				__lowerCAmelCase :    Tuple				=			tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    Optional[Any]				=			tokens + [tokenizer.unk_token]

				__lowerCAmelCase :    int				=			[0, 1, 2, 4, 5, 1, 0, 3, 6]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE)			,     _SCREAMING_SNAKE_CASE)




"""simple docstring"""






def      _lowercase							(    __snake_case      )		->  float:
			return 10 - x * x


def      _lowercase							(    __snake_case   ,__snake_case      )		->  float:
			# Bolzano theory in order to find if there is a root between a and b
			if equation(__snake_case      ) * equation(__snake_case      ) >= 0:
						raise ValueError("Wrong space!"      )

			__lowerCAmelCase :    List[Any]				=			a
			while (b - a) >= 0.01:
						# Find middle point
						__lowerCAmelCase :    str				=			(a + b) / 2
						# Check if middle point is root
						if equation(__snake_case      ) == 0.0:
									break
						# Decide the side to repeat the steps
						if equation(__snake_case      ) * equation(__snake_case      ) < 0:
									__lowerCAmelCase :    List[Any]				=			c
						else:
									__lowerCAmelCase :    List[str]				=			c
			return c


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	print(bisection(-2, 5))
	print(bisection(0, 6))