




"""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       lowerCAmelCase__       (			lowerCAmelCase_  ,			unittest.TestCase    ):


				"""simple docstring"""





				__UpperCAmelCase :     List[Any]       =      LongformerTokenizer
				__UpperCAmelCase :     Optional[Any]       =      True
				__UpperCAmelCase :     List[str]       =      LongformerTokenizerFast
				__UpperCAmelCase :     Optional[Any]       =      True



				def       snake_case    (     self					:	List[Any]						):
						super().setUp()

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

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



				def       snake_case    (     self					:	Tuple    ,   **lowercase__					:	str						):
						kwargs.update(self.special_tokens_map						)
						return self.tokenizer_class.from_pretrained(self.tmpdirname    ,   **lowercase__						)



				def       snake_case    (     self					:	Optional[Any]    ,   **lowercase__					:	Optional[Any]						):
						kwargs.update(self.special_tokens_map						)
						return self.rust_tokenizer_class.from_pretrained(self.tmpdirname    ,   **lowercase__						)



				def       snake_case    (     self					:	str    ,   lowercase__					:	int						):
						__lowercase				:		List[str]												=				"lower newer"
						__lowercase				:		str												=				"lower newer"
						return input_text, output_text



				def       snake_case    (     self					:	List[Any]						):
						__lowercase				:		Union[str, Any]												=				self.tokenizer_class(self.vocab_file    ,   self.merges_file    ,   **self.special_tokens_map						)
						__lowercase				:		Optional[Any]												=				"lower newer"
						__lowercase				:		List[Any]												=				["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
						__lowercase				:		Tuple												=				tokenizer.tokenize(lowercase__						)  # , add_prefix_space=True)
						self.assertListEqual(lowercase__    ,   lowercase__						)

						__lowercase				:		Union[str, Any]												=				tokens + [tokenizer.unk_token]
						__lowercase				:		int												=				[0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__						)    ,   lowercase__						)



				def       snake_case    (     self					:	Optional[int]						):
						__lowercase				:		List[Any]												=				self.get_tokenizer()

						self.assertListEqual(tokenizer.encode("Hello world!"    ,   add_special_tokens=lowercase__						)    ,   [0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]						)
						self.assertListEqual(
						    tokenizer.encode("Hello world! cécé herlolip 418"    ,   add_special_tokens=lowercase__						)    ,   [0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]    ,   )



				@slow
				def       snake_case    (     self					:	Optional[Any]						):
						__lowercase				:		Tuple												=				self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"						)

						__lowercase				:		Optional[Any]												=				tokenizer.encode("sequence builders"    ,   add_special_tokens=lowercase__						)
						__lowercase				:		str												=				tokenizer.encode("multi-sequence build"    ,   add_special_tokens=lowercase__						)

						__lowercase				:		Optional[Any]												=				tokenizer.encode(
						    "sequence builders"    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
						__lowercase				:		int												=				tokenizer.encode(
						    "sequence builders"    ,   "multi-sequence build"    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)

						__lowercase				:		Any												=				tokenizer.build_inputs_with_special_tokens(lowercase__						)
						__lowercase				:		Optional[int]												=				tokenizer.build_inputs_with_special_tokens(lowercase__    ,   lowercase__						)

						assert encoded_sentence == encoded_text_from_decode
						assert encoded_pair == encoded_pair_from_decode



				def       snake_case    (     self					:	str						):
						__lowercase				:		Optional[int]												=				self.get_tokenizer()

						__lowercase				:		List[Any]												=				"Encode this sequence."
						__lowercase				:		Optional[int]												=				tokenizer.byte_encoder[" ".encode("utf-8"						)[0]]

						# Testing encoder arguments
						__lowercase				:		Tuple												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
						__lowercase				:		Union[str, Any]												=				tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
						self.assertNotEqual(lowercase__    ,   lowercase__						)

						__lowercase				:		str												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__    ,   add_prefix_space=lowercase__						)
						__lowercase				:		Dict												=				tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
						self.assertEqual(lowercase__    ,   lowercase__						)

						tokenizer.add_special_tokens({"bos_token": "<s>"}						)
						__lowercase				:		Tuple												=				tokenizer.encode(lowercase__    ,   add_special_tokens=lowercase__						)
						__lowercase				:		List[str]												=				tokenizer.convert_ids_to_tokens(encoded[1]						)[0]
						self.assertNotEqual(lowercase__    ,   lowercase__						)

						# Testing spaces after special tokens
						__lowercase				:		Optional[Any]												=				"<mask>"
						tokenizer.add_special_tokens(
						    {"mask_token": AddedToken(lowercase__    ,   lstrip=lowercase__    ,   rstrip=lowercase__						)}						)  # mask token has a left space
						__lowercase				:		Dict												=				tokenizer.convert_tokens_to_ids(lowercase__						)

						__lowercase				:		Tuple												=				"Encode <mask> sequence"
						__lowercase				:		str												=				"Encode <mask>sequence"

						__lowercase				:		str												=				tokenizer.encode(lowercase__						)
						__lowercase				:		str												=				encoded.index(lowercase__						)
						__lowercase				:		int												=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
						self.assertEqual(lowercase__    ,   lowercase__						)

						__lowercase				:		Dict												=				tokenizer.encode(lowercase__						)
						__lowercase				:		Union[str, Any]												=				encoded.index(lowercase__						)
						__lowercase				:		Tuple												=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
						self.assertNotEqual(lowercase__    ,   lowercase__						)



				def       snake_case    (     self					:	str						):
						pass



				def       snake_case    (     self					:	List[Any]						):
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
										__lowercase				:		Union[str, Any]												=				self.rust_tokenizer_class.from_pretrained(lowercase__    ,   **lowercase__						)
										__lowercase				:		Optional[int]												=				self.tokenizer_class.from_pretrained(lowercase__    ,   **lowercase__						)
										__lowercase				:		Any												=				"A, <mask> AllenNLP sentence."
										__lowercase				:		Union[str, Any]												=				tokenizer_r.encode_plus(lowercase__    ,   add_special_tokens=lowercase__    ,   return_token_type_ids=lowercase__						)
										__lowercase				:		List[Any]												=				tokenizer_p.encode_plus(lowercase__    ,   add_special_tokens=lowercase__    ,   return_token_type_ids=lowercase__						)

										# 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"]						)    ,   )

										__lowercase				:		Dict												=				tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
										__lowercase				:		Tuple												=				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, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]						)
										self.assertSequenceEqual(tokens_r["input_ids"]    ,   [0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]						)

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



				def       snake_case    (     self					:	Optional[int]						):
						for trim_offsets, add_prefix_space in itertools.product([True, False]    ,   repeat=2						):
								__lowercase				:		Optional[Any]												=				self.rust_tokenizer_class.from_pretrained(
								    self.tmpdirname    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)

								__lowercase				:		int												=				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
								__lowercase				:		Dict												=				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()						)

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

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



				def       snake_case    (     self					:	List[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})'						):
										__lowercase				:		List[str]												=				"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
										__lowercase				:		int												=				f'{text_of_1_token} {text_of_1_token}'

										__lowercase				:		List[Any]												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		Union[str, Any]												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (len(lowercase__						) + 1, len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		str												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		Union[str, Any]												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (len(lowercase__						) + 1, len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		Dict												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		str												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (len(lowercase__						), len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		str												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		Optional[Any]												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (len(lowercase__						), len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		Tuple												=				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)),
										# )

										__lowercase				:		Optional[int]												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		str												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (1, 1 + len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (1 + len(lowercase__						) + 1, 1 + len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		Optional[Any]												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		List[Any]												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (1 + len(lowercase__						), 1 + len(lowercase__						) + 1 + len(lowercase__						))    ,   )

										__lowercase				:		List[Any]												=				self.rust_tokenizer_class.from_pretrained(
										    lowercase__    ,   use_fast=lowercase__    ,   add_prefix_space=lowercase__    ,   trim_offsets=lowercase__						)
										__lowercase				:		List[str]												=				tokenizer_r(lowercase__    ,   return_offsets_mapping=lowercase__    ,   add_special_tokens=lowercase__						)
										self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(lowercase__						))						)
										self.assertEqual(
										    encoding.offset_mapping[1]    ,   (1 + len(lowercase__						), 1 + len(lowercase__						) + 1 + len(lowercase__						))    ,   )






"""simple docstring"""







from collections import deque

def 						snake_case__       (					_lowerCamelCase				)			->Dict:






		"""simple docstring"""


		__lowercase				:		Any												=				len(_lowerCamelCase				)
		__lowercase				:		str												=				deque()
		__lowercase				:		Tuple												=				[False for _ in range(_lowerCamelCase				)]
		__lowercase				:		Optional[int]												=				[-1 for _ in range(_lowerCamelCase				)]
		__lowercase				:		Dict												=				index_of[:]

		def strong_connect(_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				):
				__lowercase				:		List[str]												=				index  # the number when this node is seen
				__lowercase				:		List[str]												=				index  # lowest rank node reachable from here
				index += 1
				stack.append(_lowerCamelCase				)
				__lowercase				:		List[Any]												=				True

				for w in g[v]:
						if index_of[w] == -1:
								__lowercase				:		Optional[int]												=				strong_connect(_lowerCamelCase,  _lowerCamelCase,  _lowerCamelCase				)
								__lowercase				:		List[Any]												=				(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)
						elif on_stack[w]:
								__lowercase				:		List[Any]												=				(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)

				if lowlink_of[v] == index_of[v]:
						__lowercase				:		Any												=				[]
						__lowercase				:		List[Any]												=				stack.pop()
						__lowercase				:		Any												=				False
						component.append(_lowerCamelCase				)
						while w != v:
								__lowercase				:		List[str]												=				stack.pop()
								__lowercase				:		Dict												=				False
								component.append(_lowerCamelCase				)
						components.append(_lowerCamelCase				)
				return index

		__lowercase				:		Tuple												=				[]
		for v in range(_lowerCamelCase				):
				if index_of[v] == -1:
						strong_connect(_lowerCamelCase,  0,  _lowerCamelCase				)

		return components

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Tuple:






		"""simple docstring"""


		__lowercase				:		int												=				[[] for _ in range(_lowerCamelCase				)]
		for u, v in edges:
				g[u].append(_lowerCamelCase				)
		return g


if __name__ == "__main__":
						# Test
						__A   :  int					=      7
						__A   :  int					=      [0, 0, 1, 2, 3, 3, 4, 4, 6]
						__A   :  List[Any]					=      [1, 3, 2, 0, 1, 4, 5, 6, 5]
						__A   :  List[str]					=      [(u, v) for u, v in zip(source, target)]
						__A   :  List[str]					=      create_graph(n_vertices, edges)

						assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)
