





'''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        _a(    lowercase_	,   unittest.TestCase    ):
		lowerCamelCase__     :Union[str, Any]   				=		None
		lowerCamelCase__     :Optional[Any]   				=		BloomTokenizerFast
		lowerCamelCase__     :List[Any]   				=		BloomTokenizerFast
		lowerCamelCase__     :Dict   				=		True
		lowerCamelCase__     :Optional[int]   				=		False
		lowerCamelCase__     :Any   				=		'tokenizer_file'
		lowerCamelCase__     :List[Any]   				=		{'bos_token': '<s>', 'eos_token': '</s>', 'unk_token': '<unk>', 'pad_token': '<pad>'}







		def        lowercase       (    self				)      ->      Any:


							'''simple docstring'''

							super().setUp()
							_snake_case       :					str				       =   BloomTokenizerFast.from_pretrained("bigscience/tokenizer"				)
							tokenizer.save_pretrained(self.tmpdirname				)







		def        lowercase       (    self ,						**__snake_case				)      ->      str:


							'''simple docstring'''

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







		def        lowercase       (    self				)      ->      Optional[Any]:


							'''simple docstring'''

							_snake_case       :					Union[str, Any]				       =   self.get_rust_tokenizer()

							_snake_case       :					List[Any]				       =   ["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
							_snake_case       :					Any				       =   [[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]]

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

							_snake_case       :					List[str]				       =   tokenizer.batch_decode(lowerCamelCase_				)
							self.assertListEqual(lowerCamelCase_ ,						lowerCamelCase_				)







		def        lowercase       (    self ,						__snake_case=6				)      ->      Optional[Any]:


							'''simple docstring'''

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

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

																	_snake_case       :					Union[str, Any]				       =   None  # Hotfixing padding = None
																	self.assertRaises(lowerCamelCase_ ,						tokenizer_r.encode ,						lowerCamelCase_ ,						max_length=lowerCamelCase_ ,						padding="max_length"				)

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

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

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

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

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







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


							'''simple docstring'''

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

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

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







		def        lowercase       (    self				)      ->      Union[str, Any]:


							'''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				)






from __future__ import annotations

import typing
from collections.abc import Iterable

import numpy as np

__lowerCAmelCase :Union[str, Any]     =    typing.Union[Iterable[float], Iterable[int], np.ndarray]  # noqa: UP007
__lowerCAmelCase :Optional[Any]     =    typing.Union[np.floataa, int, float]  # noqa: UP007







def    A				(							UpperCAmelCase  ,  UpperCAmelCase				):
					return np.sqrt(np.sum((np.asarray(UpperCAmelCase				) - np.asarray(UpperCAmelCase				)) ** 2				)				)







def    A				(							UpperCAmelCase  ,  UpperCAmelCase				):
					return sum((va - va) ** 2 for va, va in zip(UpperCAmelCase  ,  UpperCAmelCase				)				) ** (1 / 2)


if __name__ == "__main__":







							def    A				(							):
												from timeit import timeit

												print("Without Numpy"				)
												print(
												    timeit(
												        "euclidean_distance_no_np([1, 2, 3], [4, 5, 6])"  ,  number=10_000  ,  globals=globals()  ,  )				)
												print("With Numpy"				)
												print(
												    timeit(
												        "euclidean_distance([1, 2, 3], [4, 5, 6])"  ,  number=10_000  ,  globals=globals()  ,  )				)

							benchmark()