


"""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       SCREAMING_SNAKE_CASE__				(		lowercase   ,    unittest.TestCase				):
       """simple docstring"""


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

       def        lowercase__							(						self						):






         """simple docstring"""





         super().setUp()

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

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

       def        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     **snake_case__						):






         """simple docstring"""





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

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Any								=							"lower newer"
         lowerCAmelCase     :     List[str]								=							"lower newer"
         return input_text, output_text

       def        lowercase__							(						self						):






         """simple docstring"""





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

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

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     str								=							self.get_tokenizer()

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

       @slow
       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     List[str]								=							self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"						)

         lowerCAmelCase     :     int								=							tokenizer.encode("sequence builders"		,     add_special_tokens=snake_case__						)
         lowerCAmelCase     :     str								=							tokenizer.encode("multi-sequence build"		,     add_special_tokens=snake_case__						)

         lowerCAmelCase     :     Any								=							tokenizer.encode(
             "sequence builders"		,     add_special_tokens=snake_case__		,     add_prefix_space=snake_case__						)
         lowerCAmelCase     :     List[Any]								=							tokenizer.encode(
             "sequence builders"		,     "multi-sequence build"		,     add_special_tokens=snake_case__		,     add_prefix_space=snake_case__						)

         lowerCAmelCase     :     Tuple								=							tokenizer.build_inputs_with_special_tokens(snake_case__						)
         lowerCAmelCase     :     List[Any]								=							tokenizer.build_inputs_with_special_tokens(snake_case__		,     snake_case__						)

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode

       def        lowercase__							(						self						):






         """simple docstring"""





         lowerCAmelCase     :     Optional[Any]								=							self.get_tokenizer()

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

         # Testing encoder arguments
         lowerCAmelCase     :     Optional[Any]								=							tokenizer.encode(snake_case__		,     add_special_tokens=snake_case__		,     add_prefix_space=snake_case__						)
         lowerCAmelCase     :     str								=							tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
         self.assertNotEqual(snake_case__		,     snake_case__						)

         lowerCAmelCase     :     Optional[Any]								=							tokenizer.encode(snake_case__		,     add_special_tokens=snake_case__		,     add_prefix_space=snake_case__						)
         lowerCAmelCase     :     Optional[int]								=							tokenizer.convert_ids_to_tokens(encoded[0]						)[0]
         self.assertEqual(snake_case__		,     snake_case__						)

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

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

         lowerCAmelCase     :     Union[str, Any]								=							"Encode <mask> sequence"
         lowerCAmelCase     :     Union[str, Any]								=							"Encode <mask>sequence"

         lowerCAmelCase     :     str								=							tokenizer.encode(snake_case__						)
         lowerCAmelCase     :     Any								=							encoded.index(snake_case__						)
         lowerCAmelCase     :     List[Any]								=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
         self.assertEqual(snake_case__		,     snake_case__						)

         lowerCAmelCase     :     List[Any]								=							tokenizer.encode(snake_case__						)
         lowerCAmelCase     :     Tuple								=							encoded.index(snake_case__						)
         lowerCAmelCase     :     List[Any]								=							tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]						)[0]
         self.assertNotEqual(snake_case__		,     snake_case__						)

       def        lowercase__							(						self						):






         """simple docstring"""





         pass

       def        lowercase__							(						self						):






         """simple docstring"""





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

             lowerCAmelCase     :     Dict								=							tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
             lowerCAmelCase     :     Any								=							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(
                 snake_case__		,     ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)
             self.assertSequenceEqual(
                 snake_case__		,     ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)

       def        lowercase__							(						self						):






         """simple docstring"""





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

           lowerCAmelCase     :     List[Any]								=							json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()						)
           lowerCAmelCase     :     str								=							json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()						)

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

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







       def        lowercase__							(						self						):






         """simple docstring"""





         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
             lowerCAmelCase     :     str								=							"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
             lowerCAmelCase     :     Optional[int]								=							f"""{text_of_1_token} {text_of_1_token}"""

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

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

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

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

             lowerCAmelCase     :     List[Any]								=							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)),
             # )

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

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

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









"""simple docstring"""







from __future__ import annotations

import math


class       SCREAMING_SNAKE_CASE__				:
       """simple docstring"""


       def __init__(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Any								=							size
         # approximate the overall size of segment tree with given value
         lowerCAmelCase     :     Optional[int]								=							[0 for i in range(0		,     4 * size						)]
         # create array to store lazy update
         lowerCAmelCase     :     List[str]								=							[0 for i in range(0		,     4 * size						)]
         lowerCAmelCase     :     Dict								=							[0 for i in range(0		,     4 * size						)]  # flag for lazy update

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         return idx * 2

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         return idx * 2 + 1

       def        lowercase__							(						self		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						):






         """simple docstring"""





         if left_element == right_element:
           lowerCAmelCase     :     List[str]								=							a[left_element - 1]
         else:
           lowerCAmelCase     :     Tuple								=							(left_element + right_element) // 2
           self.build(self.left(snake_case__						)		,     snake_case__		,     snake_case__		,     snake_case__						)
           self.build(self.right(snake_case__						)		,     mid + 1		,     snake_case__		,     snake_case__						)
           lowerCAmelCase     :     Tuple								=							max(
               self.segment_tree[self.left(snake_case__						)]		,     self.segment_tree[self.right(snake_case__						)]						)

       def        lowercase__							(						self		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						):






         """simple docstring"""





         if self.flag[idx] is True:
           lowerCAmelCase     :     Optional[int]								=							self.lazy[idx]
           lowerCAmelCase     :     List[str]								=							False
           if left_element != right_element:
             lowerCAmelCase     :     Optional[Any]								=							self.lazy[idx]
             lowerCAmelCase     :     List[Any]								=							self.lazy[idx]
             lowerCAmelCase     :     List[Any]								=							True
             lowerCAmelCase     :     Optional[Any]								=							True

         if right_element < a or left_element > b:
           return True
         if left_element >= a and right_element <= b:
           lowerCAmelCase     :     str								=							val
           if left_element != right_element:
             lowerCAmelCase     :     Optional[Any]								=							val
             lowerCAmelCase     :     Union[str, Any]								=							val
             lowerCAmelCase     :     int								=							True
             lowerCAmelCase     :     int								=							True
           return True
         lowerCAmelCase     :     List[str]								=							(left_element + right_element) // 2
         self.update(self.left(snake_case__						)		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						)
         self.update(self.right(snake_case__						)		,     mid + 1		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						)
         lowerCAmelCase     :     Optional[int]								=							max(
             self.segment_tree[self.left(snake_case__						)]		,     self.segment_tree[self.right(snake_case__						)]						)
         return True

       def        lowercase__							(						self		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						):






         """simple docstring"""





         if self.flag[idx] is True:
           lowerCAmelCase     :     List[Any]								=							self.lazy[idx]
           lowerCAmelCase     :     str								=							False
           if left_element != right_element:
             lowerCAmelCase     :     Tuple								=							self.lazy[idx]
             lowerCAmelCase     :     List[Any]								=							self.lazy[idx]
             lowerCAmelCase     :     Optional[int]								=							True
             lowerCAmelCase     :     str								=							True
         if right_element < a or left_element > b:
           return -math.inf
         if left_element >= a and right_element <= b:
           return self.segment_tree[idx]
         lowerCAmelCase     :     Any								=							(left_element + right_element) // 2
         lowerCAmelCase     :     Optional[int]								=							self.query(self.left(snake_case__						)		,     snake_case__		,     snake_case__		,     snake_case__		,     snake_case__						)
         lowerCAmelCase     :     Dict								=							self.query(self.right(snake_case__						)		,     mid + 1		,     snake_case__		,     snake_case__		,     snake_case__						)
         return max(snake_case__		,     snake_case__						)







       def __str__(						self						):






         """simple docstring"""





         return str([self.query(1		,     1		,     self.size		,     snake_case__		,     snake_case__						) for i in range(1		,     self.size + 1						)]						)


if __name__ == "__main__":
     lowerCAmelCase__      				=   [1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
     lowerCAmelCase__      				=   15
     lowerCAmelCase__      				=   SegmentTree(size)
     segt.build(1, 1, size, A)
     print(segt.query(1, 1, size, 4, 6))
     print(segt.query(1, 1, size, 7, 11))
     print(segt.query(1, 1, size, 7, 12))
     segt.update(1, 1, size, 1, 3, 111)
     print(segt.query(1, 1, size, 1, 15))
     segt.update(1, 1, size, 7, 8, 235)
     print(segt)





