


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   :						Optional[int]		)						->       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   :						List[str]				, **_UpperCAmelCase   :						str		)						->       Optional[int]:




							"""simple docstring"""


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

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




							"""simple docstring"""


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

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




							"""simple docstring"""


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

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




							"""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   :						Dict		)						->       str:




							"""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   :						str		)						->       Optional[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   :						Tuple		)						->       Tuple:




							"""simple docstring"""


							pass

					def   lowerCamelCase__					(self   :						Union[str, 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(_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   :						int		)						->       Optional[int]:




							"""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   :						Union[str, Any]		)						->       int:




							"""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		))				, )





import pytest


A	:		Optional[Any]    =       '__dummy_dataset1__'

A	:		Tuple    =       '\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                "tokens": datasets.Sequence(datasets.Value("string")),\n                "ner_tags": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            "O",\n                            "B-PER",\n                            "I-PER",\n                            "B-ORG",\n                            "I-ORG",\n                            "B-LOC",\n                            "I-LOC",\n                        ]\n                    )\n                ),\n                "langs": datasets.Sequence(datasets.Value("string")),\n                "spans": datasets.Sequence(datasets.Value("string")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, "r", encoding="utf-8") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n'






@pytest.fixture
def 			UpperCamelCase (     )       ->  Any:
		"""simple docstring"""




		return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def 			UpperCamelCase (     )       ->  Union[str, Any]:
		"""simple docstring"""




		return DATASET_LOADING_SCRIPT_CODE







@pytest.fixture
def 			UpperCamelCase (     __magic_name__					:							List[str]   ,   __magic_name__					:							Dict   ,   __magic_name__					:							Any					)       ->  str:
		"""simple docstring"""




		lowercase__					      =		dataset_loading_script_name
		lowercase__					      =		tmp_path / """datasets""" / script_name
		script_dir.mkdir(parents=__magic_name__					)
		lowercase__					      =		script_dir / f'''{script_name}.py'''
		with open(__magic_name__   ,   """w"""					) as f:
				f.write(__magic_name__					)
		return str(__magic_name__					)

