




import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class       a__   ( A__			,    unittest.TestCase				):
						_a							:   Dict =   FunnelTokenizer
						_a							:   Tuple =   FunnelTokenizerFast
						_a							:   Any =   True
						_a							:   Any =   True






						def     __SCREAMING_SNAKE_CASE(       self      ):




											"""simple docstring"""



											super().setUp()

											__lowerCAmelCase           =	[
											    "<unk>",
											    "<cls>",
											    "<sep>",
											    "want",
											    "##want",
											    "##ed",
											    "wa",
											    "un",
											    "runn",
											    "##ing",
											    ",",
											    "low",
											    "lowest",
											]
											__lowerCAmelCase           =	os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["vocab_file"]      )
											with open(self.vocab_file		,      "w"		,      encoding="utf-8"      ) as vocab_writer:
																vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )






						def     __SCREAMING_SNAKE_CASE(       self		,      **_A      ):




											"""simple docstring"""



											return FunnelTokenizer.from_pretrained(self.tmpdirname		,      **lowerCamelCase__      )






						def     __SCREAMING_SNAKE_CASE(       self		,      **_A      ):




											"""simple docstring"""



											return FunnelTokenizerFast.from_pretrained(self.tmpdirname		,      **lowerCamelCase__      )






						def     __SCREAMING_SNAKE_CASE(       self		,      _A      ):




											"""simple docstring"""



											__lowerCAmelCase           =	"UNwant\u00E9d,running"
											__lowerCAmelCase           =	"unwanted, running"
											return input_text, output_text






						def     __SCREAMING_SNAKE_CASE(       self      ):




											"""simple docstring"""



											__lowerCAmelCase           =	self.tokenizer_class(self.vocab_file      )

											__lowerCAmelCase           =	tokenizer.tokenize("UNwant\u00E9d,running"      )
											self.assertListEqual(lowerCamelCase__		,      ["un", "##want", "##ed", ",", "runn", "##ing"]      )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__      )		,      [7, 4, 5, 1_0, 8, 9]      )






						def     __SCREAMING_SNAKE_CASE(       self      ):




											"""simple docstring"""



											__lowerCAmelCase           =	self.get_tokenizers(do_lower_case=lowerCamelCase__      )
											for tokenizer in tokenizers:
																__lowerCAmelCase           =	tokenizer("UNwant\u00E9d,running"      )
																__lowerCAmelCase           =	len(inputs["input_ids"]      ) - 1
																self.assertListEqual(inputs["token_type_ids"]		,      [2] + [0] * sentence_len      )

																__lowerCAmelCase           =	tokenizer("UNwant\u00E9d,running"		,      "UNwant\u00E9d,running"      )
																self.assertListEqual(inputs["token_type_ids"]		,      [2] + [0] * sentence_len + [1] * sentence_len      )










from __future__ import annotations







def      _a				(						SCREAMING_SNAKE_CASE_							:    float				,				SCREAMING_SNAKE_CASE_							:    float				,				SCREAMING_SNAKE_CASE_							:    float				,				):
					if (electron_conc, hole_conc, intrinsic_conc).count(0					) != 1:
										raise ValueError("You cannot supply more or less than 2 values"					)
					elif electron_conc < 0:
										raise ValueError("Electron concentration cannot be negative in a semiconductor"					)
					elif hole_conc < 0:
										raise ValueError("Hole concentration cannot be negative in a semiconductor"					)
					elif intrinsic_conc < 0:
										raise ValueError(
										    "Intrinsic concentration cannot be negative in a semiconductor"					)
					elif electron_conc == 0:
										return (
										    "electron_conc",
										    intrinsic_conc**2 / hole_conc,
										)
					elif hole_conc == 0:
										return (
										    "hole_conc",
										    intrinsic_conc**2 / electron_conc,
										)
					elif intrinsic_conc == 0:
										return (
										    "intrinsic_conc",
										    (electron_conc * hole_conc) ** 0.5,
										)
					else:
										return (-1, -1)


if __name__ == "__main__":
					import doctest

					doctest.testmod()




