






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        __UpperCamelCase    (     UpperCamelCase__   ,			unittest.TestCase   ):
	__snake_case	:Optional[int]   =       RobertaTokenizer
	__snake_case	:str   =       RobertaTokenizerFast
	__snake_case	:Dict   =       True
	__snake_case	:Dict   =       {'cls_token': '<s>'}







	def  _a   (  self      :							List[str]			)		-> Dict:
		"""simple docstring"""







		super().setUp()

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

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







	def  _a   (  self      :							List[str]       ,				**_lowerCAmelCase      :							List[Any]			)		-> List[str]:
		"""simple docstring"""







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







	def  _a   (  self      :							Union[str, Any]       ,				**_lowerCAmelCase      :							int			)		-> List[Any]:
		"""simple docstring"""







		kwargs.update(self.special_tokens_map			)
		return RobertaTokenizerFast.from_pretrained(self.tmpdirname       ,				**__A			)







	def  _a   (  self      :							str       ,				_lowerCAmelCase      :							Dict			)		-> Any:
		"""simple docstring"""







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







	def  _a   (  self      :							List[str]			)		-> Tuple:
		"""simple docstring"""







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

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







	def  _a   (  self      :							Optional[Any]			)		-> Dict:
		"""simple docstring"""







		__lowercase             =  self.get_tokenizer()

		self.assertListEqual(tokenizer.encode("""Hello world!"""       ,				add_special_tokens=__A			)       ,				[0, 3_1414, 232, 328, 2]			)
		self.assertListEqual(
		    tokenizer.encode("""Hello world! cécé herlolip 418"""       ,				add_special_tokens=__A			)       ,				[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]       ,				)







	@slow
	def  _a   (  self      :							List[Any]			)		-> Any:
		"""simple docstring"""







		__lowercase             =  self.tokenizer_class.from_pretrained("""roberta-base"""			)

		__lowercase             =  tokenizer.encode("""sequence builders"""       ,				add_special_tokens=__A			)
		__lowercase             =  tokenizer.encode("""multi-sequence build"""       ,				add_special_tokens=__A			)

		__lowercase             =  tokenizer.encode(
		    """sequence builders"""       ,				add_special_tokens=__A       ,				add_prefix_space=__A			)
		__lowercase             =  tokenizer.encode(
		    """sequence builders"""       ,				"""multi-sequence build"""       ,				add_special_tokens=__A       ,				add_prefix_space=__A			)

		__lowercase             =  tokenizer.build_inputs_with_special_tokens(__A			)
		__lowercase             =  tokenizer.build_inputs_with_special_tokens(__A       ,				__A			)

		assert encoded_sentence == encoded_text_from_decode
		assert encoded_pair == encoded_pair_from_decode







	def  _a   (  self      :							Any			)		-> Tuple:
		"""simple docstring"""







		__lowercase             =  self.get_tokenizer()

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

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

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

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

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

		__lowercase             =  """Encode <mask> sequence"""
		__lowercase             =  """Encode <mask>sequence"""

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

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







	def  _a   (  self      :							List[Any]			)		-> List[str]:
		"""simple docstring"""







		pass







	def  _a   (  self      :							Any			)		-> Optional[Any]:
		"""simple docstring"""







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

				# 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             =  tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]			)
				__lowercase             =  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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]			)
				self.assertSequenceEqual(tokens_r["""input_ids"""]       ,				[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]			)

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







	def  _a   (  self      :							List[str]			)		-> List[Any]:
		"""simple docstring"""







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

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

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

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







	def  _a   (  self      :							Optional[int]			)		-> Any:
		"""simple docstring"""







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

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

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

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

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

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

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

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










from __future__ import annotations





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if not nums:
		return 0
	__lowercase             =  nums[0]
	__lowercase             =  0
	for num in nums[1:]:
		__lowercase       ,						__lowercase             =  (
		    max_excluding + num,
		    max(lowerCamelCase				,  lowerCamelCase					),
		)
	return max(lowerCamelCase				,  lowerCamelCase					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()

