


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 				A       (			UpperCAmelCase__					,    unittest.TestCase				):
					'''simple docstring'''






					A__     =					RobertaTokenizer
					A__     =					RobertaTokenizerFast
					A__     =					True
					A__     =					{'''cls_token''': '''<s>'''}

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Union[str, Any]:




							"""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(_UpperCAmelCase ,   range(len(_UpperCAmelCase						)						)						)						)
							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(_UpperCAmelCase						) + """\n"""						)
							with open(self.merges_file ,   """w""" ,   encoding="""utf-8"""						) as fp:
									fp.write("""\n""".join(_UpperCAmelCase						)						)

					def     lowerCamelCase__	(self       :		Tuple ,   **_UpperCAmelCase       :		Optional[Any]						)		->  str:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		List[str] ,   **_UpperCAmelCase       :		str						)		->  int:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		List[str] ,   _UpperCAmelCase       :		Any						)		->  Optional[Any]:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		int						)		->  Any:




							"""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(_UpperCAmelCase						)  # , add_prefix_space=True)
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

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

					def     lowerCamelCase__	(self       :		Dict						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						self.get_tokenizer()

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

					@slow
					def     lowerCamelCase__	(self       :		Optional[int]						)		->  Any:




							"""simple docstring"""


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

							lowercase__	     =						tokenizer.encode("""sequence builders""" ,   add_special_tokens=_UpperCAmelCase						)
							lowercase__	     =						tokenizer.encode("""multi-sequence build""" ,   add_special_tokens=_UpperCAmelCase						)

							lowercase__	     =						tokenizer.encode(
							    """sequence builders""" ,   add_special_tokens=_UpperCAmelCase ,   add_prefix_space=_UpperCAmelCase						)
							lowercase__	     =						tokenizer.encode(
							    """sequence builders""" ,   """multi-sequence build""" ,   add_special_tokens=_UpperCAmelCase ,   add_prefix_space=_UpperCAmelCase						)

							lowercase__	     =						tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase						)
							lowercase__	     =						tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase ,   _UpperCAmelCase						)

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode

					def     lowerCamelCase__	(self       :		Tuple						)		->  Union[str, Any]:




							"""simple docstring"""


							lowercase__	     =						self.get_tokenizer()

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

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

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

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

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

							lowercase__	     =						"""Encode <mask> sequence"""
							lowercase__	     =						"""Encode <mask>sequence"""

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

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

					def     lowerCamelCase__	(self       :		Optional[int]						)		->  Dict:




							"""simple docstring"""


							pass

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Union[str, 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(_UpperCAmelCase ,   **_UpperCAmelCase						)
											lowercase__	     =						self.tokenizer_class.from_pretrained(_UpperCAmelCase ,   **_UpperCAmelCase						)
											lowercase__	     =						"""A, <mask> AllenNLP sentence."""
											lowercase__	     =						tokenizer_r.encode_plus(_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase ,   return_token_type_ids=_UpperCAmelCase						)
											lowercase__	     =						tokenizer_p.encode_plus(_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase ,   return_token_type_ids=_UpperCAmelCase						)

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

					def     lowerCamelCase__	(self       :		Optional[Any]						)		->  List[str]:




							"""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=_UpperCAmelCase ,   add_prefix_space=_UpperCAmelCase ,   trim_offsets=_UpperCAmelCase						)

									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"""] ,   _UpperCAmelCase						)

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


					def     lowerCamelCase__	(self       :		Optional[Any]						)		->  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(
											    _UpperCAmelCase ,   use_fast=_UpperCAmelCase ,   add_prefix_space=_UpperCAmelCase ,   trim_offsets=_UpperCAmelCase						)
											lowercase__	     =						tokenizer_r(_UpperCAmelCase ,   return_offsets_mapping=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						)
											self.assertEqual(encoding.offset_mapping[0] ,   (0, len(_UpperCAmelCase						))						)
											self.assertEqual(
											    encoding.offset_mapping[1] ,   (len(_UpperCAmelCase						) + 1, len(_UpperCAmelCase						) + 1 + len(_UpperCAmelCase						)) ,   )

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

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

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

											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(
											    _UpperCAmelCase ,   use_fast=_UpperCAmelCase ,   add_prefix_space=_UpperCAmelCase ,   trim_offsets=_UpperCAmelCase						)
											lowercase__	     =						tokenizer_r(_UpperCAmelCase ,   return_offsets_mapping=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						)
											self.assertEqual(encoding.offset_mapping[0] ,   (1, 1 + len(_UpperCAmelCase						))						)
											self.assertEqual(
											    encoding.offset_mapping[1] ,   (1 + len(_UpperCAmelCase						) + 1, 1 + len(_UpperCAmelCase						) + 1 + len(_UpperCAmelCase						)) ,   )

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

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





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A			:						List[str]        =  logging.get_logger(__name__)

A			:						Tuple        =  {
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}



class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					'''ibert'''

					def __init__(self       :		int ,   _UpperCAmelCase       :		Union[str, Any]=3_0522 ,   _UpperCAmelCase       :		Any=768 ,   _UpperCAmelCase       :		Optional[Any]=12 ,   _UpperCAmelCase       :		Union[str, Any]=12 ,   _UpperCAmelCase       :		List[Any]=3072 ,   _UpperCAmelCase       :		List[Any]="gelu" ,   _UpperCAmelCase       :		List[str]=0.1 ,   _UpperCAmelCase       :		Union[str, Any]=0.1 ,   _UpperCAmelCase       :		Optional[int]=512 ,   _UpperCAmelCase       :		str=2 ,   _UpperCAmelCase       :		Union[str, Any]=0.02 ,   _UpperCAmelCase       :		Dict=1E-1_2 ,   _UpperCAmelCase       :		int=1 ,   _UpperCAmelCase       :		str=0 ,   _UpperCAmelCase       :		Tuple=2 ,   _UpperCAmelCase       :		int="absolute" ,   _UpperCAmelCase       :		Any=False ,   _UpperCAmelCase       :		List[Any]="none" ,   **_UpperCAmelCase       :		List[Any] ,   )		->  Any:




							"""simple docstring"""


							super().__init__(pad_token_id=_UpperCAmelCase ,   bos_token_id=_UpperCAmelCase ,   eos_token_id=_UpperCAmelCase ,   **_UpperCAmelCase						)

							lowercase__	     =						vocab_size
							lowercase__	     =						hidden_size
							lowercase__	     =						num_hidden_layers
							lowercase__	     =						num_attention_heads
							lowercase__	     =						hidden_act
							lowercase__	     =						intermediate_size
							lowercase__	     =						hidden_dropout_prob
							lowercase__	     =						attention_probs_dropout_prob
							lowercase__	     =						max_position_embeddings
							lowercase__	     =						type_vocab_size
							lowercase__	     =						initializer_range
							lowercase__	     =						layer_norm_eps
							lowercase__	     =						position_embedding_type
							lowercase__	     =						quant_mode
							lowercase__	     =						force_dequant






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					@property
					def     lowerCamelCase__	(self       :		Dict						)		->  Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


							if self.task == "multiple-choice":
									lowercase__	     =						{0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
									lowercase__	     =						{0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							    ]						)

