

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    (					lowercase     ,     unittest.TestCase						):
	SCREAMING_SNAKE_CASE__    				=     LongformerTokenizer
	SCREAMING_SNAKE_CASE__    				=     True
	SCREAMING_SNAKE_CASE__    				=     LongformerTokenizerFast
	SCREAMING_SNAKE_CASE__    				=     True




	def       __A					(		self	:						Optional[Any]							):


		'''simple docstring'''







		super().setUp()

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

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




	def       __A					(		self	:						Union[str, Any]		,	**lowerCAmelCase	:						Optional[Any]							):


		'''simple docstring'''







		kwargs.update(self.special_tokens_map							)
		return self.tokenizer_class.from_pretrained(self.tmpdirname		,	**lowerCAmelCase							)




	def       __A					(		self	:						List[Any]		,	**lowerCAmelCase	:						Tuple							):


		'''simple docstring'''







		kwargs.update(self.special_tokens_map							)
		return self.rust_tokenizer_class.from_pretrained(self.tmpdirname		,	**lowerCAmelCase							)




	def       __A					(		self	:						Optional[int]		,	lowerCAmelCase	:						Dict							):


		'''simple docstring'''







		UpperCAmelCase_       				=			"lower newer"
		UpperCAmelCase_       				=			"lower newer"
		return input_text, output_text




	def       __A					(		self	:						str							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.tokenizer_class(self.vocab_file		,	self.merges_file		,	**self.special_tokens_map							)
		UpperCAmelCase_       				=			"lower newer"
		UpperCAmelCase_       				=			["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
		UpperCAmelCase_       				=			tokenizer.tokenize(lowerCAmelCase							)  # , add_prefix_space=True)
		self.assertListEqual(lowerCAmelCase		,	lowerCAmelCase							)

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




	def       __A					(		self	:						int							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_tokenizer()

		self.assertListEqual(tokenizer.encode("Hello world!"		,	add_special_tokens=lowerCAmelCase							)		,	[0, 31_414, 232, 328, 2]							)
		self.assertListEqual(
		    tokenizer.encode("Hello world! cécé herlolip 418"		,	add_special_tokens=lowerCAmelCase							)		,	[0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]		,	)




	@slow
	def       __A					(		self	:						str							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"							)

		UpperCAmelCase_       				=			tokenizer.encode("sequence builders"		,	add_special_tokens=lowerCAmelCase							)
		UpperCAmelCase_       				=			tokenizer.encode("multi-sequence build"		,	add_special_tokens=lowerCAmelCase							)

		UpperCAmelCase_       				=			tokenizer.encode(
		    "sequence builders"		,	add_special_tokens=lowerCAmelCase		,	add_prefix_space=lowerCAmelCase							)
		UpperCAmelCase_       				=			tokenizer.encode(
		    "sequence builders"		,	"multi-sequence build"		,	add_special_tokens=lowerCAmelCase		,	add_prefix_space=lowerCAmelCase							)

		UpperCAmelCase_       				=			tokenizer.build_inputs_with_special_tokens(lowerCAmelCase							)
		UpperCAmelCase_       				=			tokenizer.build_inputs_with_special_tokens(lowerCAmelCase		,	lowerCAmelCase							)

		assert encoded_sentence == encoded_text_from_decode
		assert encoded_pair == encoded_pair_from_decode




	def       __A					(		self	:						Any							):


		'''simple docstring'''







		UpperCAmelCase_       				=			self.get_tokenizer()

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

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

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

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

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

		UpperCAmelCase_       				=			"Encode <mask> sequence"
		UpperCAmelCase_       				=			"Encode <mask>sequence"

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

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




	def       __A					(		self	:						Tuple							):


		'''simple docstring'''







		pass




	def       __A					(		self	:						List[Any]							):


		'''simple docstring'''







		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"							):
				UpperCAmelCase_       				=			self.rust_tokenizer_class.from_pretrained(lowerCAmelCase		,	**lowerCAmelCase							)
				UpperCAmelCase_       				=			self.tokenizer_class.from_pretrained(lowerCAmelCase		,	**lowerCAmelCase							)
				UpperCAmelCase_       				=			"A, <mask> AllenNLP sentence."
				UpperCAmelCase_       				=			tokenizer_r.encode_plus(lowerCAmelCase		,	add_special_tokens=lowerCAmelCase		,	return_token_type_ids=lowerCAmelCase							)
				UpperCAmelCase_       				=			tokenizer_p.encode_plus(lowerCAmelCase		,	add_special_tokens=lowerCAmelCase		,	return_token_type_ids=lowerCAmelCase							)

				# 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"]							)		,	)

				UpperCAmelCase_       				=			tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]							)
				UpperCAmelCase_       				=			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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)
				self.assertSequenceEqual(tokens_r["input_ids"]		,	[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)

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




	def       __A					(		self	:						List[str]							):


		'''simple docstring'''







		for trim_offsets, add_prefix_space in itertools.product([True, False]		,	repeat=2							):
			UpperCAmelCase_       				=			self.rust_tokenizer_class.from_pretrained(
			    self.tmpdirname		,	use_fast=lowerCAmelCase		,	add_prefix_space=lowerCAmelCase		,	trim_offsets=lowerCAmelCase							)

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

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

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




	def       __A					(		self	:						str							):


		'''simple docstring'''







		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"							):
				UpperCAmelCase_       				=			"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
				UpperCAmelCase_       				=			F"{text_of_1_token} {text_of_1_token}"

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

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

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

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

				UpperCAmelCase_       				=			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)),
				# )

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

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

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


def       __lowerCAmelCase      (						A    ):
	if len(A    ) <= 1:
		return lst

	UpperCAmelCase_       				=			1

	while i < len(A    ):
		if lst[i - 1] <= lst[i]:
			i += 1
		else:
			UpperCAmelCase_				,   UpperCAmelCase_       				=			lst[i], lst[i - 1]
			i -= 1
			if i == 0:
				UpperCAmelCase_       				=			1

	return lst


if __name__ == "__main__":
				_a:    List[Any] 							=			input("""Enter numbers separated by a comma:\n""").strip()
				_a:    Optional[int] 							=			[int(item) for item in user_input.split(""",""")]
				print(gnome_sort(unsorted))