




import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class 		__lowerCAmelCase	(	__magic_name__      ,       unittest.TestCase ):
							UpperCamelCase__					     =  MobileBertTokenizer
							UpperCamelCase__					     =  MobileBertTokenizerFast
							UpperCamelCase__					     =  True
							UpperCamelCase__					     =  True
							UpperCamelCase__					     =  filter_non_english
							UpperCamelCase__					     =  '''google/mobilebert-uncased'''
							def       lowerCamelCase__							(						self						:List[Any]				):







								'''simple docstring'''







								super().setUp()

								a										=							[
								    """[UNK]""",
								    """[CLS]""",
								    """[SEP]""",
								    """[PAD]""",
								    """[MASK]""",
								    """want""",
								    """##want""",
								    """##ed""",
								    """wa""",
								    """un""",
								    """runn""",
								    """##ing""",
								    """,""",
								    """low""",
								    """lowest""",
								]
								a										=							os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]				)
								with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""				) as vocab_writer:
									vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]				)				)

								a										=							[
								    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
								    for tokenizer_def in self.tokenizers_list
								]
							def       lowerCamelCase__							(						self						:Union[str, Any]		,      __magic_name__						:Optional[Any]				):







								'''simple docstring'''







								a										=							"""UNwant\u00E9d,running"""
								a										=							"""unwanted, running"""
								return input_text, output_text
							def       lowerCamelCase__							(						self						:Tuple				):







								'''simple docstring'''







								a										=							self.tokenizer_class(self.vocab_file				)

								a										=							tokenizer.tokenize("""UNwant\u00E9d,running"""				)
								self.assertListEqual(__magic_name__		,      ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]				)
								self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)		,      [9, 6, 7, 12, 10, 11]				)
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								if not self.test_rust_tokenizer:
									return

								a										=							self.get_tokenizer()
								a										=							self.get_rust_tokenizer()

								a										=							"""UNwant\u00E9d,running"""

								a										=							tokenizer.tokenize(__magic_name__				)
								a										=							rust_tokenizer.tokenize(__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								a										=							tokenizer.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
								a										=							rust_tokenizer.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								a										=							self.get_rust_tokenizer()
								a										=							tokenizer.encode(__magic_name__				)
								a										=							rust_tokenizer.encode(__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								# With lower casing
								a										=							self.get_tokenizer(do_lower_case=__magic_name__				)
								a										=							self.get_rust_tokenizer(do_lower_case=__magic_name__				)

								a										=							"""UNwant\u00E9d,running"""

								a										=							tokenizer.tokenize(__magic_name__				)
								a										=							rust_tokenizer.tokenize(__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								a										=							tokenizer.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
								a										=							rust_tokenizer.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								a										=							self.get_rust_tokenizer()
								a										=							tokenizer.encode(__magic_name__				)
								a										=							rust_tokenizer.encode(__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								a										=							BasicTokenizer()

								self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""				)		,      ["""ah""", """\u535A""", """\u63A8""", """zz"""]				)
							def       lowerCamelCase__							(						self						:Optional[int]				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """				)		,      ["""hello""", """!""", """how""", """are""", """you""", """?"""]				)
								self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""				)		,      ["""hello"""]				)
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__		,      strip_accents=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """				)		,      ["""hällo""", """!""", """how""", """are""", """you""", """?"""]				)
								self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""				)		,      ["""h\u00E9llo"""]				)
							def       lowerCamelCase__							(						self						:List[Any]				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__		,      strip_accents=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """				)		,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]				)
								self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""				)		,      ["""hello"""]				)
							def       lowerCamelCase__							(						self						:Any				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """				)		,      ["""hallo""", """!""", """how""", """are""", """you""", """?"""]				)
								self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""				)		,      ["""hello"""]				)
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """				)		,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]				)
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__		,      strip_accents=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """				)		,      ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]				)
							def       lowerCamelCase__							(						self						:List[Any]				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__		,      strip_accents=__magic_name__				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """				)		,      ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]				)
							def       lowerCamelCase__							(						self						:Any				):







								'''simple docstring'''







								a										=							BasicTokenizer(do_lower_case=__magic_name__		,      never_split=["""[UNK]"""]				)

								self.assertListEqual(
								    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""				)		,      ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]				)
							def       lowerCamelCase__							(						self						:str				):







								'''simple docstring'''







								a										=							["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

								a										=							{}
								for i, token in enumerate(__magic_name__				):
									a										=							i
								a										=							WordpieceTokenizer(vocab=__magic_name__		,      unk_token="""[UNK]"""				)

								self.assertListEqual(tokenizer.tokenize(""""""				)		,      []				)

								self.assertListEqual(tokenizer.tokenize("""unwanted running"""				)		,      ["""un""", """##want""", """##ed""", """runn""", """##ing"""]				)

								self.assertListEqual(tokenizer.tokenize("""unwantedX running"""				)		,      ["""[UNK]""", """runn""", """##ing"""]				)
							def       lowerCamelCase__							(						self						:List[Any]				):







								'''simple docstring'''







								self.assertTrue(_is_whitespace(""" """				)				)
								self.assertTrue(_is_whitespace("""\t"""				)				)
								self.assertTrue(_is_whitespace("""\r"""				)				)
								self.assertTrue(_is_whitespace("""\n"""				)				)
								self.assertTrue(_is_whitespace("""\u00A0"""				)				)

								self.assertFalse(_is_whitespace("""A"""				)				)
								self.assertFalse(_is_whitespace("""-"""				)				)
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								self.assertTrue(_is_control("""\u0005"""				)				)

								self.assertFalse(_is_control("""A"""				)				)
								self.assertFalse(_is_control(""" """				)				)
								self.assertFalse(_is_control("""\t"""				)				)
								self.assertFalse(_is_control("""\r"""				)				)
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								self.assertTrue(_is_punctuation("""-"""				)				)
								self.assertTrue(_is_punctuation("""$"""				)				)
								self.assertTrue(_is_punctuation("""`"""				)				)
								self.assertTrue(_is_punctuation("""."""				)				)

								self.assertFalse(_is_punctuation("""A"""				)				)
								self.assertFalse(_is_punctuation(""" """				)				)
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								a										=							self.get_tokenizer()
								a										=							self.get_rust_tokenizer()

								# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
								self.assertListEqual([tokenizer.tokenize(__magic_name__				) for t in ["""Test""", """\xad""", """test"""]]		,      [["""[UNK]"""], [], ["""[UNK]"""]]				)

								self.assertListEqual(
								    [rust_tokenizer.tokenize(__magic_name__				) for t in ["""Test""", """\xad""", """test"""]]		,      [["""[UNK]"""], [], ["""[UNK]"""]]				)
							@slow
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								a										=							self.tokenizer_class.from_pretrained("""google/mobilebert-uncased"""				)

								a										=							tokenizer.encode("""sequence builders"""		,      add_special_tokens=__magic_name__				)
								a										=							tokenizer.encode("""multi-sequence build"""		,      add_special_tokens=__magic_name__				)

								a										=							tokenizer.build_inputs_with_special_tokens(__magic_name__				)
								a										=							tokenizer.build_inputs_with_special_tokens(__magic_name__		,      __magic_name__				)

								assert encoded_sentence == [101] + text + [102]
								assert encoded_pair == [101] + text + [102] + text_a + [102]
							def       lowerCamelCase__							(						self						:str				):







								'''simple docstring'''







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
										a										=							self.rust_tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)

										a										=							F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
										a										=							tokenizer_r.encode_plus(
										    __magic_name__		,      return_attention_mask=__magic_name__		,      return_token_type_ids=__magic_name__		,      return_offsets_mapping=__magic_name__		,      add_special_tokens=__magic_name__		,      )

										a										=							tokenizer_r.do_lower_case if hasattr(__magic_name__		,      """do_lower_case"""				) else False
										a										=							(
										    [
										        ((0, 0), tokenizer_r.cls_token),
										        ((0, 1), """A"""),
										        ((1, 2), ""","""),
										        ((3, 5), """na"""),
										        ((5, 6), """##ï"""),
										        ((6, 8), """##ve"""),
										        ((9, 15), tokenizer_r.mask_token),
										        ((16, 21), """Allen"""),
										        ((21, 23), """##NL"""),
										        ((23, 24), """##P"""),
										        ((25, 33), """sentence"""),
										        ((33, 34), """."""),
										        ((0, 0), tokenizer_r.sep_token),
										    ]
										    if not do_lower_case
										    else [
										        ((0, 0), tokenizer_r.cls_token),
										        ((0, 1), """a"""),
										        ((1, 2), ""","""),
										        ((3, 8), """naive"""),
										        ((9, 15), tokenizer_r.mask_token),
										        ((16, 21), """allen"""),
										        ((21, 23), """##nl"""),
										        ((23, 24), """##p"""),
										        ((25, 33), """sentence"""),
										        ((33, 34), """."""),
										        ((0, 0), tokenizer_r.sep_token),
										    ]
										)

										self.assertEqual(
										    [e[1] for e in expected_results]		,      tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]				)				)
										self.assertEqual([e[0] for e in expected_results]		,      tokens["""offset_mapping"""]				)





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







								'''simple docstring'''







								a										=							["""的""", """人""", """有"""]
								a										=							"""""".join(__magic_name__				)
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
										a										=							True
										a										=							self.tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)
										a										=							self.rust_tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)

										a										=							tokenizer_p.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
										a										=							tokenizer_r.encode(__magic_name__		,      add_special_tokens=__magic_name__				)

										a										=							tokenizer_r.convert_ids_to_tokens(__magic_name__				)
										a										=							tokenizer_p.convert_ids_to_tokens(__magic_name__				)

										# it is expected that each Chinese character is not preceded by "##"
										self.assertListEqual(__magic_name__		,      __magic_name__				)
										self.assertListEqual(__magic_name__		,      __magic_name__				)

										a										=							False
										a										=							self.rust_tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)
										a										=							self.tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)

										a										=							tokenizer_r.encode(__magic_name__		,      add_special_tokens=__magic_name__				)
										a										=							tokenizer_p.encode(__magic_name__		,      add_special_tokens=__magic_name__				)

										a										=							tokenizer_r.convert_ids_to_tokens(__magic_name__				)
										a										=							tokenizer_p.convert_ids_to_tokens(__magic_name__				)

										# it is expected that only the first Chinese character is not preceded by "##".
										a										=							[
										    F'##{token}' if idx != 0 else token for idx, token in enumerate(__magic_name__				)
										]
										self.assertListEqual(__magic_name__		,      __magic_name__				)
										self.assertListEqual(__magic_name__		,      __magic_name__				)







import argparse

import pytorch_lightning as pl
import torch
from torch import nn

from transformers import LongformerForQuestionAnswering, LongformerModel

class 		__lowerCAmelCase	(	pl.LightningModule ):
							def __init__(						self						:Union[str, Any]		,      __magic_name__						:Optional[int]				):







								'''simple docstring'''







								super().__init__()
								a										=							model
								a										=							2
								a										=							nn.Linear(self.model.config.hidden_size		,      self.num_labels				)





							def       lowerCamelCase__							(						self						:Dict				):







								'''simple docstring'''







								pass







def 		__A		(	__lowerCamelCase							,			__lowerCamelCase							,			__lowerCamelCase    )      ->       Optional[int]:
	# load longformer model from model identifier
	a										=							LongformerModel.from_pretrained(__lowerCamelCase    )
	a										=							LightningModel(__lowerCamelCase    )

	a										=							torch.load(__lowerCamelCase							,			map_location=torch.device("""cpu"""    )    )
	lightning_model.load_state_dict(ckpt["""state_dict"""]    )

	# init longformer question answering model
	a										=							LongformerForQuestionAnswering.from_pretrained(__lowerCamelCase    )

	# transfer weights
	longformer_for_qa.longformer.load_state_dict(lightning_model.model.state_dict()    )
	longformer_for_qa.qa_outputs.load_state_dict(lightning_model.qa_outputs.state_dict()    )
	longformer_for_qa.eval()

	# save model
	longformer_for_qa.save_pretrained(__lowerCamelCase    )

	print(f'Conversion successful. Model saved under {pytorch_dump_folder_path}'    )


if __name__ == "__main__":
		__UpperCamelCase					:       List[Any]    					=      argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    "--longformer_model",
		    default=None,
		    type=str,
		    required=True,
		    help="model identifier of longformer. Should be either `longformer-base-4096` or `longformer-large-4096`.",
		)
		parser.add_argument(
		    "--longformer_question_answering_ckpt_path",
		    default=None,
		    type=str,
		    required=True,
		    help="Path the official PyTorch Lightning Checkpoint.",
		)
		parser.add_argument(
		    "--pytorch_dump_folder_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
		)
		__UpperCamelCase					:       List[Any]    					=      parser.parse_args()
		convert_longformer_qa_checkpoint_to_pytorch(
		    args.longformer_model, args.longformer_question_answering_ckpt_path, args.pytorch_dump_folder_path
		)

