

"""simple docstring"""


import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class    snake_case     (    __UpperCamelCase,							unittest.TestCase  ):
				SCREAMING_SNAKE_CASE_       :				List[Any]       				=  None
				SCREAMING_SNAKE_CASE_       :				str       				=  BloomTokenizerFast
				SCREAMING_SNAKE_CASE_       :				Any       				=  BloomTokenizerFast
				SCREAMING_SNAKE_CASE_       :				int       				=  True
				SCREAMING_SNAKE_CASE_       :				int       				=  False
				SCREAMING_SNAKE_CASE_       :				Union[str, Any]       				=  """tokenizer_file"""
				SCREAMING_SNAKE_CASE_       :				Tuple       				=  {"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}

				def 							lowercase_					(     self							:    Any)->       List[str]:



						'''simple docstring'''


						super().setUp()
						__lowerCAmelCase:	Union[str, Any]   				=      BloomTokenizerFast.from_pretrained("bigscience/tokenizer")
						tokenizer.save_pretrained(self.tmpdirname)

				def 							lowercase_					(     self							:    List[str]					,  **UpperCamelCase__							:    List[str])->       List[str]:



						'''simple docstring'''


						kwargs.update(self.special_tokens_map)
						return BloomTokenizerFast.from_pretrained(self.tmpdirname					,  **UpperCamelCase__)

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



						'''simple docstring'''


						__lowerCAmelCase:	List[Any]   				=      self.get_rust_tokenizer()

						__lowerCAmelCase:	List[Any]   				=      ["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
						__lowerCAmelCase:	Tuple   				=      [[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

						__lowerCAmelCase:	Any   				=      tokenizer.batch_encode_plus(UpperCamelCase__)["""input_ids"""]
						self.assertListEqual(UpperCamelCase__					,  UpperCamelCase__)

						__lowerCAmelCase:	Dict   				=      tokenizer.batch_decode(UpperCamelCase__)
						self.assertListEqual(UpperCamelCase__					,  UpperCamelCase__)

				def 							lowercase_					(     self							:    str					,  UpperCamelCase__							:    Union[str, Any]=6)->       str:



						'''simple docstring'''


						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
										__lowerCAmelCase:	Tuple   				=      self.rust_tokenizer_class.from_pretrained(UpperCamelCase__					,  **UpperCamelCase__)
										# tokenizer_r.pad_token = None # Hotfixing padding = None
										# Simple input
										__lowerCAmelCase:	List[str]   				=      """This is a simple input"""
										__lowerCAmelCase:	Union[str, Any]   				=      ["""This is a simple input 1""", """This is a simple input 2"""]
										__lowerCAmelCase:	Optional[int]   				=      ("""This is a simple input""", """This is a pair""")
										__lowerCAmelCase:	List[Any]   				=      [
										    ("""This is a simple input 1""", """This is a simple input 2"""),
										    ("""This is a simple pair 1""", """This is a simple pair 2"""),
										]

										# Simple input tests
										try:
												tokenizer_r.encode(UpperCamelCase__					,  max_length=UpperCamelCase__)
												tokenizer_r.encode_plus(UpperCamelCase__					,  max_length=UpperCamelCase__)

												tokenizer_r.batch_encode_plus(UpperCamelCase__					,  max_length=UpperCamelCase__)
												tokenizer_r.encode(UpperCamelCase__					,  max_length=UpperCamelCase__)
												tokenizer_r.batch_encode_plus(UpperCamelCase__					,  max_length=UpperCamelCase__)
										except ValueError:
												self.fail("Bloom Tokenizer should be able to deal with padding")

										__lowerCAmelCase:	Optional[Any]   				=      None  # Hotfixing padding = None
										self.assertRaises(UpperCamelCase__					,  tokenizer_r.encode					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length")

										# Simple input
										self.assertRaises(UpperCamelCase__					,  tokenizer_r.encode_plus					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length")

										# Simple input
										self.assertRaises(
										    UpperCamelCase__					,  tokenizer_r.batch_encode_plus					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length"					,  )

										# Pair input
										self.assertRaises(UpperCamelCase__					,  tokenizer_r.encode					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length")

										# Pair input
										self.assertRaises(UpperCamelCase__					,  tokenizer_r.encode_plus					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length")

										# Pair input
										self.assertRaises(
										    UpperCamelCase__					,  tokenizer_r.batch_encode_plus					,  UpperCamelCase__					,  max_length=UpperCamelCase__					,  padding="max_length"					,  )

				def 							lowercase_					(     self							:    Tuple)->       str:



						'''simple docstring'''


						__lowerCAmelCase:	Optional[int]   				=      self.get_rust_tokenizer()
						__lowerCAmelCase:	List[Any]   				=      load_dataset("xnli"					,  "all_languages"					,  split="test"					,  streaming=UpperCamelCase__)

						__lowerCAmelCase:	str   				=      next(iter(UpperCamelCase__))["""premise"""]  # pick up one data
						__lowerCAmelCase:	List[str]   				=      list(sample_data.values())

						__lowerCAmelCase:	Dict   				=      list(map(tokenizer.encode					,  UpperCamelCase__))
						__lowerCAmelCase:	str   				=      [tokenizer.decode(UpperCamelCase__					,  clean_up_tokenization_spaces=UpperCamelCase__) for x in output_tokens]
						self.assertListEqual(UpperCamelCase__					,  UpperCamelCase__)




				def 							lowercase_					(     self							:    Any)->       str:



						'''simple docstring'''


						self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map)					,  1)
						self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values())[0])					,  1)





"""simple docstring"""


from __future__ import annotations

from math import pi






def    a__   (   __SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE			)     ->     dict[str, float]:

		if (inductance, frequency, reactance).count(0			) != 1:
				raise ValueError("One and only one argument must be 0"			)
		if inductance < 0:
				raise ValueError("Inductance cannot be negative"			)
		if frequency < 0:
				raise ValueError("Frequency cannot be negative"			)
		if reactance < 0:
				raise ValueError("Inductive reactance cannot be negative"			)
		if inductance == 0:
				return {"inductance": reactance / (2 * pi * frequency)}
		elif frequency == 0:
				return {"frequency": reactance / (2 * pi * inductance)}
		elif reactance == 0:
				return {"reactance": 2 * pi * frequency * inductance}
		else:
				raise ValueError("Exactly one argument must be 0"			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()


