

import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin






class _UpperCamelCase							(							_A							,	unittest.TestCase   ):
			'''simple docstring'''







			lowerCamelCase__           =CTRLTokenizer
			lowerCamelCase__           =False
			lowerCamelCase__           =False
			def 							__UpperCamelCase (			self							: List[str]	)							->       int:

				"""simple docstring"""

				super().setUp()

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

				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["vocab_file"]	)
				SCREAMING_SNAKE_CASE   :      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(a	) + "\n"	)
				with open(self.merges_file      ,      "w"      ,      encoding="utf-8"	) as fp:
					fp.write("\n".join(a	)	)
			def 							__UpperCamelCase (			self							: List[Any]      ,      **a							: Union[str, Any]	)							->       Tuple:

				"""simple docstring"""

				kwargs.update(self.special_tokens_map	)
				return CTRLTokenizer.from_pretrained(self.tmpdirname      ,      **a	)
			def 							__UpperCamelCase (			self							: str      ,      a							: Union[str, Any]	)							->       int:

				"""simple docstring"""

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






			def 							__UpperCamelCase (			self							: Optional[int]	)							->       str:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Dict				     =       CTRLTokenizer(self.vocab_file      ,      self.merges_file      ,      **self.special_tokens_map	)
				SCREAMING_SNAKE_CASE   :      Dict				     =       "adapt react readapt apt"
				SCREAMING_SNAKE_CASE   :      Tuple				     =       "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
				SCREAMING_SNAKE_CASE   :      str				     =       tokenizer.tokenize(a	)
				self.assertListEqual(a      ,      a	)

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

				SCREAMING_SNAKE_CASE   :      Tuple				     =       [0, 1, 2, 4, 5, 1, 0, 3, 6]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(a	)      ,      a	)









import math

def  lowerCamelCase__ (					_a							,			_a):
	if (
	    not isinstance(_a							,			(int, float))
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("power_factor must be a valid float value between -1 and 1.")
	return apparent_power * power_factor

def  lowerCamelCase__ (					_a							,			_a):
	if (
	    not isinstance(_a							,			(int, float))
	    or power_factor < -1
	    or power_factor > 1
	):
		raise ValueError("power_factor must be a valid float value between -1 and 1.")
	return apparent_power * math.sqrt(1 - power_factor**2)


if __name__ == "__main__":
			import doctest

			doctest.testmod()