
import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        _SCREAMING_SNAKE_CASE	( snake_case_     ,			unittest.TestCase		):
	lowerCAmelCase__   =					RobertaTokenizer
	lowerCAmelCase__   =					RobertaTokenizerFast
	lowerCAmelCase__   =					True
	lowerCAmelCase__   =					{'cls_token': '<s>'}



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					super().setUp()

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

					lowerCamelCase_         =     os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES["vocab_file"]					)
					lowerCamelCase_         =     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        SCREAMING_SNAKE_CASE_(       self		,    **lowercase					)							->			Union[str, Any]:
					kwargs.update(self.special_tokens_map					)
					return self.tokenizer_class.from_pretrained(self.tmpdirname		,    **lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    **lowercase					)							->			Tuple:
					kwargs.update(self.special_tokens_map					)
					return RobertaTokenizerFast.from_pretrained(self.tmpdirname		,    **lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			str:
					lowerCamelCase_         =     "lower newer"
					lowerCamelCase_         =     "lower newer"
					return input_text, output_text



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[str]:
					lowerCamelCase_         =     self.tokenizer_class(self.vocab_file		,    self.merges_file		,    **self.special_tokens_map					)
					lowerCamelCase_         =     "lower newer"
					lowerCamelCase_         =     ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
					lowerCamelCase_         =     tokenizer.tokenize(lowercase					)  # , add_prefix_space=True)
					self.assertListEqual(lowercase		,    lowercase					)

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



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[Any]:
					lowerCamelCase_         =     self.get_tokenizer()

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



	@slow
	def        SCREAMING_SNAKE_CASE_(       self					)							->			Union[str, Any]:
					lowerCamelCase_         =     self.tokenizer_class.from_pretrained("roberta-base"					)

					lowerCamelCase_         =     tokenizer.encode("sequence builders"		,    add_special_tokens=lowercase					)
					lowerCamelCase_         =     tokenizer.encode("multi-sequence build"		,    add_special_tokens=lowercase					)

					lowerCamelCase_         =     tokenizer.encode(
					    "sequence builders"		,    add_special_tokens=lowercase		,    add_prefix_space=lowercase					)
					lowerCamelCase_         =     tokenizer.encode(
					    "sequence builders"		,    "multi-sequence build"		,    add_special_tokens=lowercase		,    add_prefix_space=lowercase					)

					lowerCamelCase_         =     tokenizer.build_inputs_with_special_tokens(lowercase					)
					lowerCamelCase_         =     tokenizer.build_inputs_with_special_tokens(lowercase		,    lowercase					)

					assert encoded_sentence == encoded_text_from_decode
					assert encoded_pair == encoded_pair_from_decode



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[Any]:
					lowerCamelCase_         =     self.get_tokenizer()

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

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

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

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

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

					lowerCamelCase_         =     "Encode <mask> sequence"
					lowerCamelCase_         =     "Encode <mask>sequence"

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

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



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Dict:
					pass



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Tuple:
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(lowercase		,    **lowercase					)
													lowerCamelCase_         =     self.tokenizer_class.from_pretrained(lowercase		,    **lowercase					)
													lowerCamelCase_         =     "A, <mask> AllenNLP sentence."
													lowerCamelCase_         =     tokenizer_r.encode_plus(lowercase		,    add_special_tokens=lowercase		,    return_token_type_ids=lowercase					)
													lowerCamelCase_         =     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"]					)		,    )

													lowerCamelCase_         =     tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]					)
													lowerCamelCase_         =     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(
													    lowercase		,    ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]					)
													self.assertSequenceEqual(
													    lowercase		,    ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Tuple:
					for trim_offsets, add_prefix_space in itertools.product([True, False]		,    repeat=2					):
									lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
									    self.tmpdirname		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)

									lowerCamelCase_         =     json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()					)
									lowerCamelCase_         =     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        SCREAMING_SNAKE_CASE_(       self					)							->			Tuple:
					# 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})'					):
													lowerCamelCase_         =     "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
													lowerCamelCase_         =     f'{text_of_1_token} {text_of_1_token}'

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     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_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )

													lowerCamelCase_         =     self.rust_tokenizer_class.from_pretrained(
													    lowercase		,    use_fast=lowercase		,    add_prefix_space=lowercase		,    trim_offsets=lowercase					)
													lowerCamelCase_         =     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					))		,    )




from math import isqrt





def      lowerCamelCase_					(							lowerCamelCase__       ):
				lowerCamelCase_         =     [True] * max_number
				for i in range(2      ,					isqrt(max_number - 1       ) + 1       ):
								if is_prime[i]:
												for j in range(i**2      ,					lowerCamelCase__      ,					lowerCamelCase__       ):
																lowerCamelCase_         =     False

				return [i for i in range(2      ,					lowerCamelCase__       ) if is_prime[i]]





def      lowerCamelCase_					(							lowerCamelCase__ = 1_0**8       ):
				lowerCamelCase_         =     calculate_prime_numbers(max_number // 2       )

				lowerCamelCase_         =     0
				lowerCamelCase_         =     0
				lowerCamelCase_         =     len(lowerCamelCase__       ) - 1
				while left <= right:
								while prime_numbers[left] * prime_numbers[right] >= max_number:
												right -= 1
								semiprimes_count += right - left + 1
								left += 1

				return semiprimes_count


if __name__ == "__main__":
			print(F"""{solution() = }""")


