



"""simple docstring"""







import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class       UpperCamelCase__			(   _lowerCAmelCase       ,		unittest.TestCase      ):

			"""simple docstring"""


			A__	:					List[str]							  =     LongformerTokenizer
			A__	:					Optional[int]							  =     True
			A__	:					Optional[Any]							  =     LongformerTokenizerFast
			A__	:					Tuple							  =     True


			def   snake_case__	(      self		)      ->	Any:
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				A__											=					[
				    "l",
				    "o",
				    "w",
				    "e",
				    "r",
				    "s",
				    "t",
				    "i",
				    "d",
				    "n",
				    "\u0120",
				    "\u0120l",
				    "\u0120n",
				    "\u0120lo",
				    "\u0120low",
				    "er",
				    "\u0120lowest",
				    "\u0120newer",
				    "\u0120wider",
				    "<unk>",
				]
				A__											=					dict(zip(SCREAMING_SNAKE_CASE__						,	range(len(SCREAMING_SNAKE_CASE__		)		)		)		)
				A__											=					["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
				A__											=					{"unk_token": "<unk>"}

				A__											=					os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES["vocab_file"]		)
				A__											=					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(SCREAMING_SNAKE_CASE__		) + "\n"		)
				with open(self.merges_file						,	"w"						,	encoding="utf-8"		) as fp:
					fp.write("\n".join(SCREAMING_SNAKE_CASE__		)		)


			def   snake_case__	(      self						,	**SCREAMING_SNAKE_CASE__		)      ->	int:
				kwargs.update(self.special_tokens_map		)
				return self.tokenizer_class.from_pretrained(self.tmpdirname						,	**SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self						,	**SCREAMING_SNAKE_CASE__		)      ->	int:
				kwargs.update(self.special_tokens_map		)
				return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,	**SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self						,	SCREAMING_SNAKE_CASE__		)      ->	Dict:
				A__											=					"lower newer"
				A__											=					"lower newer"
				return input_text, output_text


			def   snake_case__	(      self		)      ->	Optional[int]:
				A__											=					self.tokenizer_class(self.vocab_file						,	self.merges_file						,	**self.special_tokens_map		)
				A__											=					"lower newer"
				A__											=					["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
				A__											=					tokenizer.tokenize(SCREAMING_SNAKE_CASE__		)  # , add_prefix_space=True)
				self.assertListEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				A__											=					tokens + [tokenizer.unk_token]
				A__											=					[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)						,	SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self		)      ->	Tuple:
				A__											=					self.get_tokenizer()

				self.assertListEqual(tokenizer.encode("Hello world!"						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)						,	[0, 31414, 232, 328, 2]		)
				self.assertListEqual(
				    tokenizer.encode("Hello world! cécé herlolip 418"						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)						,	[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]						,	)


			@slow
			def   snake_case__	(      self		)      ->	Dict:
				A__											=					self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"		)

				A__											=					tokenizer.encode("sequence builders"						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.encode("multi-sequence build"						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)

				A__											=					tokenizer.encode(
				    "sequence builders"						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.encode(
				    "sequence builders"						,	"multi-sequence build"						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__		)

				A__											=					tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				assert encoded_sentence == encoded_text_from_decode
				assert encoded_pair == encoded_pair_from_decode


			def   snake_case__	(      self		)      ->	List[Any]:
				A__											=					self.get_tokenizer()

				A__											=					"Encode this sequence."
				A__											=					tokenizer.byte_encoder[" ".encode("utf-8"		)[0]]

				# Testing encoder arguments
				A__											=					tokenizer.encode(SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
				self.assertNotEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				A__											=					tokenizer.encode(SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
				self.assertEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				tokenizer.add_special_tokens({"bos_token": "<s>"}		)
				A__											=					tokenizer.encode(SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.convert_ids_to_tokens(encoded[1]		)[0]
				self.assertNotEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				# Testing spaces after special tokens
				A__											=					"<mask>"
				tokenizer.add_special_tokens(
				    {"mask_token": AddedToken(SCREAMING_SNAKE_CASE__						,	lstrip=SCREAMING_SNAKE_CASE__						,	rstrip=SCREAMING_SNAKE_CASE__		)}		)  # mask token has a left space
				A__											=					tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)

				A__											=					"Encode <mask> sequence"
				A__											=					"Encode <mask>sequence"

				A__											=					tokenizer.encode(SCREAMING_SNAKE_CASE__		)
				A__											=					encoded.index(SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
				self.assertEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)

				A__											=					tokenizer.encode(SCREAMING_SNAKE_CASE__		)
				A__											=					encoded.index(SCREAMING_SNAKE_CASE__		)
				A__											=					tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
				self.assertNotEqual(SCREAMING_SNAKE_CASE__						,	SCREAMING_SNAKE_CASE__		)


			def   snake_case__	(      self		)      ->	Any:
				pass


			def   snake_case__	(      self		)      ->	Optional[int]:
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
						A__											=					self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__						,	**SCREAMING_SNAKE_CASE__		)
						A__											=					self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__						,	**SCREAMING_SNAKE_CASE__		)
						A__											=					"A, <mask> AllenNLP sentence."
						A__											=					tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	return_token_type_ids=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_p.encode_plus(SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__						,	return_token_type_ids=SCREAMING_SNAKE_CASE__		)

						# token_type_ids should put 0 everywhere
						self.assertEqual(sum(tokens_r["token_type_ids"]		)						,	sum(tokens_p["token_type_ids"]		)		)

						# attention_mask should put 1 everywhere, so sum over length should be 1
						self.assertEqual(
						    sum(tokens_r["attention_mask"]		) / len(tokens_r["attention_mask"]		)						,	sum(tokens_p["attention_mask"]		) / len(tokens_p["attention_mask"]		)						,	)

						A__											=					tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]		)
						A__											=					tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]		)

						# Rust correctly handles the space before the mask while python doesnt
						self.assertSequenceEqual(tokens_p["input_ids"]						,	[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)
						self.assertSequenceEqual(tokens_r["input_ids"]						,	[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)

						self.assertSequenceEqual(
						    SCREAMING_SNAKE_CASE__						,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]		)
						self.assertSequenceEqual(
						    SCREAMING_SNAKE_CASE__						,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]		)


			def   snake_case__	(      self		)      ->	List[str]:
				for trim_offsets, add_prefix_space in itertools.product([True, False]						,	repeat=2		):
					A__											=					self.rust_tokenizer_class.from_pretrained(
					    self.tmpdirname						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)

					A__											=					json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()		)
					A__											=					json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()		)

					self.assertEqual(pre_tokenizer_state["add_prefix_space"]						,	SCREAMING_SNAKE_CASE__		)

					self.assertEqual(post_processor_state["add_prefix_space"]						,	SCREAMING_SNAKE_CASE__		)
					self.assertEqual(post_processor_state["trim_offsets"]						,	SCREAMING_SNAKE_CASE__		)







			def   snake_case__	(      self		)      ->	Optional[Any]:
				# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
				# `trim_offsets`
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
						A__											=					"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
						A__											=					f"""{text_of_1_token} {text_of_1_token}"""

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(len(SCREAMING_SNAKE_CASE__		) + 1, len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(len(SCREAMING_SNAKE_CASE__		) + 1, len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(len(SCREAMING_SNAKE_CASE__		), len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(len(SCREAMING_SNAKE_CASE__		), len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					f""" {text}"""

						# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
						#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
						# )
						# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
						# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
						# self.assertEqual(
						#     encoding.offset_mapping[1],
						#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
						# )

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(1, 1 + len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(1 + len(SCREAMING_SNAKE_CASE__		) + 1, 1 + len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, 1 + len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(1 + len(SCREAMING_SNAKE_CASE__		), 1 + len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)

						A__											=					self.rust_tokenizer_class.from_pretrained(
						    SCREAMING_SNAKE_CASE__						,	use_fast=SCREAMING_SNAKE_CASE__						,	add_prefix_space=SCREAMING_SNAKE_CASE__						,	trim_offsets=SCREAMING_SNAKE_CASE__		)
						A__											=					tokenizer_r(SCREAMING_SNAKE_CASE__						,	return_offsets_mapping=SCREAMING_SNAKE_CASE__						,	add_special_tokens=SCREAMING_SNAKE_CASE__		)
						self.assertEqual(encoding.offset_mapping[0]						,	(0, 1 + len(SCREAMING_SNAKE_CASE__		))		)
						self.assertEqual(
						    encoding.offset_mapping[1]						,	(1 + len(SCREAMING_SNAKE_CASE__		), 1 + len(SCREAMING_SNAKE_CASE__		) + 1 + len(SCREAMING_SNAKE_CASE__		))						,	)









'''simple docstring'''

import unittest

from knapsack import knapsack as k






class 						a_		(     unittest.TestCase    ):


							def    UpperCamelCase     (				self   :						str			)			->					List[Any]:
										snake_case:    Optional[Any]      							=0
										snake_case:    List[str]      							=[0]
										snake_case:    List[str]      							=[0]
										snake_case:    Union[str, Any]      							=len(a_			)
										self.assertEqual(k.knapsack(a_      ,						a_      ,						a_      ,						a_			)      ,						0			)

										snake_case:    Union[str, Any]      							=[6_0]
										snake_case:    str      							=[1_0]
										snake_case:    List[str]      							=len(a_			)
										self.assertEqual(k.knapsack(a_      ,						a_      ,						a_      ,						a_			)      ,						0			)


							def    UpperCamelCase     (				self   :						int			)			->					Optional[Any]:
										snake_case:    Optional[int]      							=3
										snake_case:    Dict      							=[1, 2, 3]
										snake_case:    List[Any]      							=[3, 2, 1]
										snake_case:    Tuple      							=len(a_			)
										self.assertEqual(k.knapsack(a_      ,						a_      ,						a_      ,						a_			)      ,						5			)




							def    UpperCamelCase     (				self   :						List[str]			)			->					str:
										snake_case:    Any      							=5_0
										snake_case:    str      							=[6_0, 1_0_0, 1_2_0]
										snake_case:    Any      							=[1_0, 2_0, 3_0]
										snake_case:    Tuple      							=len(a_			)
										self.assertEqual(k.knapsack(a_      ,						a_      ,						a_      ,						a_			)      ,						2_2_0			)


if __name__ == "__main__":
	unittest.main()




