



"""simple docstring"""
import argparse

import pytorch_lightning as pl
import torch
from torch import nn

from transformers import LongformerForQuestionAnswering, LongformerModel


class    SCREAMING_SNAKE_CASE__ (							pl.LightningModule   ):

    def __init__(				self			:				List[str] ,  lowerCAmelCase_			:				Union[str, Any]):







      """simple docstring"""







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




    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      pass







def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase ,  __lowerCAmelCase							) ->						Optional[Any]:







  '''simple docstring'''


  lowercase_								= LongformerModel.from_pretrained(UpperCamelCase__							)
  lowercase_								= LightningModel(UpperCamelCase__							)

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

  # init longformer question answering model
  lowercase_								= LongformerForQuestionAnswering.from_pretrained(UpperCamelCase__							)

  # 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(UpperCamelCase__							)

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


if __name__ == "__main__":
       UpperCAmelCase						:		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						:		str			= parser.parse_args()
       convert_longformer_qa_checkpoint_to_pytorch(
           args.longformer_model, args.longformer_question_answering_ckpt_path, args.pytorch_dump_folder_path
       )






"""simple docstring"""
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, PLBartTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase						:		str			= get_tests_dir("fixtures/test_sentencepiece.model")


if is_torch_available():
       from transformers.models.plbart.modeling_plbart import shift_tokens_right

UpperCAmelCase						:		int			= 5_0003
UpperCAmelCase						:		Optional[Any]			= 5_0002


@require_sentencepiece
@require_tokenizers
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase      ,  unittest.TestCase   ):
    lowercase__      =   PLBartTokenizer
    lowercase__      =   None
    lowercase__      =   False

    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      super().setUp()

      # We have a SentencePiece fixture for testing
      lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""base""" ,  keep_accents=lowerCAmelCase_)
      tokenizer.save_pretrained(self.tmpdirname)

    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""base""" ,  keep_accents=lowerCAmelCase_)

      lowercase_								= tokenizer.tokenize("""This is a test""")
      self.assertListEqual(lowerCAmelCase_ ,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""])

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(lowerCAmelCase_) ,  [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]] ,  )

      lowercase_								= tokenizer.tokenize("""I was born in 92000, and this is falsé.""")
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """9""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """é""",
              """.""",
          ] ,  )
      lowercase_								= tokenizer.convert_tokens_to_ids(lowerCAmelCase_)
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              value + tokenizer.fairseq_offset
              for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
          ] ,  )

      lowercase_								= tokenizer.convert_ids_to_tokens(lowerCAmelCase_)
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """<unk>""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """<unk>""",
              """.""",
          ] ,  )

      lowercase_								= tokenizer.vocab_size
      lowercase_								= [tokenizer.convert_ids_to_tokens(lowerCAmelCase_) for x in range(end - 4 ,  lowerCAmelCase_)]

      self.assertListEqual(lowerCAmelCase_ ,  ["""__java__""", """__python__""", """__en_XX__""", """<mask>"""])

      lowercase_								= """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
      lowercase_								= tokenizer(lowerCAmelCase_).input_ids
      self.assertEqual(
          tokenizer.decode(lowerCAmelCase_ ,  skip_special_tokens=lowerCAmelCase_ ,  clean_up_tokenization_spaces=lowerCAmelCase_) ,  lowerCAmelCase_ ,  )




    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= PLBartTokenizer(lowerCAmelCase_ ,  language_codes="""multi""" ,  keep_accents=lowerCAmelCase_)

      lowercase_								= tokenizer.tokenize("""This is a test""")
      self.assertListEqual(lowerCAmelCase_ ,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""])

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(lowerCAmelCase_) ,  [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]] ,  )

      lowercase_								= tokenizer.tokenize("""I was born in 92000, and this is falsé.""")
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """9""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """é""",
              """.""",
          ] ,  )
      lowercase_								= tokenizer.convert_tokens_to_ids(lowerCAmelCase_)
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              value + tokenizer.fairseq_offset
              for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
          ] ,  )

      lowercase_								= tokenizer.convert_ids_to_tokens(lowerCAmelCase_)
      self.assertListEqual(
          lowerCAmelCase_ ,  [
              SPIECE_UNDERLINE + """I""",
              SPIECE_UNDERLINE + """was""",
              SPIECE_UNDERLINE + """b""",
              """or""",
              """n""",
              SPIECE_UNDERLINE + """in""",
              SPIECE_UNDERLINE + """""",
              """<unk>""",
              """2""",
              """0""",
              """0""",
              """0""",
              """,""",
              SPIECE_UNDERLINE + """and""",
              SPIECE_UNDERLINE + """this""",
              SPIECE_UNDERLINE + """is""",
              SPIECE_UNDERLINE + """f""",
              """al""",
              """s""",
              """<unk>""",
              """.""",
          ] ,  )
      lowercase_								= tokenizer.vocab_size
      lowercase_								= [tokenizer.convert_ids_to_tokens(lowerCAmelCase_) for x in range(end - 7 ,  lowerCAmelCase_)]

      self.assertListEqual(
          lowerCAmelCase_ ,  ["""__java__""", """__python__""", """__en_XX__""", """__javascript__""", """__php__""", """__ruby__""", """__go__"""])
      lowercase_								= """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
      lowercase_								= tokenizer(lowerCAmelCase_).input_ids
      self.assertEqual(
          tokenizer.decode(lowerCAmelCase_ ,  skip_special_tokens=lowerCAmelCase_ ,  clean_up_tokenization_spaces=lowerCAmelCase_) ,  lowerCAmelCase_ ,  )







@require_torch
@require_sentencepiece
@require_tokenizers
class    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):
    lowercase__      =   "uclanlp/plbart-python-en_XX"
    lowercase__      =   [
        "def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])",
        "def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])",
    ]
    lowercase__      =   [
        "Returns the maximum value of a b c.",
        "Sums the values of a b c.",
    ]
    lowercase__      =   [
        134,
        5452,
        33460,
        33441,
        33463,
        33465,
        33463,
        33449,
        988,
        20,
        33456,
        19,
        33456,
        771,
        39,
        4258,
        889,
        3318,
        33441,
        33463,
        33465,
        33463,
        33449,
        2471,
        2,
        PYTHON_CODE,
    ]

    @classmethod
    def 					_UpperCAmelCase	(				cls			:				List[Any]):







      """simple docstring"""







      lowercase_								= PLBartTokenizer.from_pretrained(
          cls.checkpoint_name ,  language_codes="""base""" ,  src_lang="""python""" ,  tgt_lang="""en_XX""")
      lowercase_								= 1
      return cls

    def 					_UpperCAmelCase	(				self			:				int):







      """simple docstring"""







      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""] ,  5_0_0_0_1)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""] ,  5_0_0_0_2)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""] ,  5_0_0_0_3)

    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
      self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      self.assertIn(lowerCAmelCase_ ,  self.tokenizer.all_special_ids)
      lowercase_								= [EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 9, 2]
      lowercase_								= self.tokenizer.decode(lowerCAmelCase_ ,  skip_special_tokens=lowerCAmelCase_)
      lowercase_								= self.tokenizer.decode(generated_ids[1:] ,  skip_special_tokens=lowerCAmelCase_)
      self.assertEqual(lowerCAmelCase_ ,  lowerCAmelCase_)
      self.assertNotIn(self.tokenizer.eos_token ,  lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      lowercase_								= ["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 2_0]
      self.assertIsInstance(src_text[0] ,  lowerCAmelCase_)
      lowercase_								= 1_0
      lowercase_								= self.tokenizer(lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  truncation=lowerCAmelCase_).input_ids[0]
      self.assertEqual(ids[-2] ,  2)
      self.assertEqual(ids[-1] ,  lowerCAmelCase_)
      self.assertEqual(len(lowerCAmelCase_) ,  lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]) ,  [5_0_0_0_4, 5_0_0_0_1])

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







      """simple docstring"""







      lowercase_								= tempfile.mkdtemp()
      lowercase_								= self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(lowerCAmelCase_)
      lowercase_								= PLBartTokenizer.from_pretrained(lowerCAmelCase_)
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids ,  lowerCAmelCase_)

    @require_torch
    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= self.tokenizer(self.src_text ,  text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  return_tensors="""pt""")
      lowercase_								= shift_tokens_right(batch["""labels"""] ,  self.tokenizer.pad_token_id)

      # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
      self.assertEqual(batch.input_ids[1][-2:].tolist() ,  [2, PYTHON_CODE])
      self.assertEqual(batch.decoder_input_ids[1][0] ,  lowerCAmelCase_)
      self.assertEqual(batch.decoder_input_ids[1][-1] ,  2)
      self.assertEqual(batch.labels[1][-2:].tolist() ,  [2, EN_CODE])

    @require_torch
    def 					_UpperCAmelCase	(				self			:				int):







      """simple docstring"""







      lowercase_								= self.tokenizer(
          self.src_text ,  text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=len(self.expected_src_tokens) ,  return_tensors="""pt""" ,  )
      lowercase_								= shift_tokens_right(batch["""labels"""] ,  self.tokenizer.pad_token_id)

      self.assertIsInstance(lowerCAmelCase_ ,  lowerCAmelCase_)

      self.assertEqual((2, 2_6) ,  batch.input_ids.shape)
      self.assertEqual((2, 2_6) ,  batch.attention_mask.shape)
      lowercase_								= batch.input_ids.tolist()[0]
      self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase_)
      self.assertEqual(2 ,  batch.decoder_input_ids[0, -1])  # EOS
      # Test that special tokens are reset
      self.assertEqual(self.tokenizer.prefix_tokens ,  [])
      self.assertEqual(self.tokenizer.suffix_tokens ,  [self.tokenizer.eos_token_id, PYTHON_CODE])

    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= self.tokenizer(self.src_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=3 ,  return_tensors="""pt""")
      lowercase_								= self.tokenizer(
          text_target=self.tgt_text ,  padding=lowerCAmelCase_ ,  truncation=lowerCAmelCase_ ,  max_length=1_0 ,  return_tensors="""pt""")
      lowercase_								= targets["""input_ids"""]
      lowercase_								= shift_tokens_right(lowerCAmelCase_ ,  self.tokenizer.pad_token_id)

      self.assertEqual(batch.input_ids.shape[1] ,  3)
      self.assertEqual(batch.decoder_input_ids.shape[1] ,  1_0)




    @require_torch
    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= self.tokenizer._build_translation_inputs(
          """A test""" ,  return_tensors="""pt""" ,  src_lang="""en_XX""" ,  tgt_lang="""java""")

      self.assertEqual(
          nested_simplify(lowerCAmelCase_) ,  {
              # A, test, EOS, en_XX
              """input_ids""": [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
              """attention_mask""": [[1, 1, 1, 1]],
              # java
              """forced_bos_token_id""": 5_0_0_0_1,
          } ,  )

