






"""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        lowercase__      (							snake_case__,       unittest.TestCase       ):
			_UpperCAmelCase		:str             =			None
			_UpperCAmelCase		:Dict             =			BloomTokenizerFast
			_UpperCAmelCase		:Optional[Any]             =			BloomTokenizerFast
			_UpperCAmelCase		:List[str]             =			True
			_UpperCAmelCase		:int             =			False
			_UpperCAmelCase		:Optional[Any]             =			"tokenizer_file"
			_UpperCAmelCase		:str             =			{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}


			def      UpperCAmelCase__						(				self					:  str ):
										super().setUp()
										lowerCamelCase_	:							Tuple									=BloomTokenizerFast.from_pretrained("bigscience/tokenizer" )
										tokenizer.save_pretrained(self.tmpdirname )


			def      UpperCAmelCase__						(				self					:  Optional[Any]       ,	**snake_case__					:  int ):
										kwargs.update(self.special_tokens_map )
										return BloomTokenizerFast.from_pretrained(self.tmpdirname       ,	**snake_case__ )


			def      UpperCAmelCase__						(				self					:  Any ):
										lowerCamelCase_	:							Tuple									=self.get_rust_tokenizer()

										lowerCamelCase_	:							int									=["The quick brown fox</s>", "jumps over the lazy dog</s>"]
										lowerCamelCase_	:							Union[str, Any]									=[[2175, 2_3714, 7_3173, 14_4252, 2], [77, 13_2619, 3478, 368, 10_9586, 3_5433, 2]]

										lowerCamelCase_	:							Optional[Any]									=tokenizer.batch_encode_plus(snake_case__ )["input_ids"]
										self.assertListEqual(snake_case__       ,	snake_case__ )

										lowerCamelCase_	:							Tuple									=tokenizer.batch_decode(snake_case__ )
										self.assertListEqual(snake_case__       ,	snake_case__ )


			def      UpperCAmelCase__						(				self					:  Tuple       ,	snake_case__					:  Dict=6 ):
										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
																								lowerCamelCase_	:							List[Any]									=self.rust_tokenizer_class.from_pretrained(snake_case__       ,	**snake_case__ )
																								# tokenizer_r.pad_token = None # Hotfixing padding = None
																								# Simple input
																								lowerCamelCase_	:							Dict									="This is a simple input"
																								lowerCamelCase_	:							List[Any]									=["This is a simple input 1", "This is a simple input 2"]
																								lowerCamelCase_	:							Optional[Any]									=("This is a simple input", "This is a pair")
																								lowerCamelCase_	:							int									=[
																								    ("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(snake_case__       ,	max_length=snake_case__ )
																															tokenizer_r.encode_plus(snake_case__       ,	max_length=snake_case__ )

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

																								lowerCamelCase_	:							Optional[int]									=None  # Hotfixing padding = None
																								self.assertRaises(snake_case__       ,	tokenizer_r.encode       ,	snake_case__       ,	max_length=snake_case__       ,	padding="max_length" )

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

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

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

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

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


			def      UpperCAmelCase__						(				self					:  Optional[int] ):
										lowerCamelCase_	:							int									=self.get_rust_tokenizer()
										lowerCamelCase_	:							Any									=load_dataset("xnli"       ,	"all_languages"       ,	split="test"       ,	streaming=snake_case__ )

										lowerCamelCase_	:							str									=next(iter(snake_case__ ) )["premise"]  # pick up one data
										lowerCamelCase_	:							Any									=list(sample_data.values() )

										lowerCamelCase_	:							Tuple									=list(map(tokenizer.encode       ,	snake_case__ ) )
										lowerCamelCase_	:							Union[str, Any]									=[tokenizer.decode(snake_case__       ,	clean_up_tokenization_spaces=snake_case__ ) for x in output_tokens]
										self.assertListEqual(snake_case__       ,	snake_case__ )


			def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										# The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
										# any sequence length constraints. This test of the parent class will fail since it relies on the
										# maximum sequence length of the positoonal embeddings.
										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 collections import namedtuple

def 			_snake_case    (					lowerCamelCase__     :   float    ,						lowerCamelCase__     :   float    ,						lowerCamelCase__     :   float  )    ->     tuple:
							lowerCamelCase_	:							Optional[Any]									=namedtuple("result"    ,						"name value"  )
							if (voltage, current, power).count(0  ) != 1:
														raise ValueError("Only one argument must be 0"  )
							elif power < 0:
														raise ValueError(
														    "Power cannot be negative in any electrical/electronics system"  )
							elif voltage == 0:
														return result("voltage"    ,						power / current  )
							elif current == 0:
														return result("current"    ,						power / voltage  )
							elif power == 0:
														return result("power"    ,						float(round(abs(voltage * current  )    ,						2  )  )  )
							else:
														raise ValueError("Exactly one argument must be 0"  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



