




import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     ):
      _A							:     str			=						10
      _A							:     Any			=						datasets.Features(
          {
              """tokens""": datasets.Sequence(datasets.Value("""string"""     )     ),
              """labels""": datasets.Sequence(datasets.ClassLabel(names=["""negative""", """positive"""]     )     ),
              """answers""": datasets.Sequence(
                  {
                      """text""": datasets.Value("""string"""     ),
                      """answer_start""": datasets.Value("""int32"""     ),
                  }     ),
              """id""": datasets.Value("""int64"""     ),
          }     )
      _A							:     Union[str, Any]			=						datasets.Dataset.from_dict(
          {
              """tokens""": [["""foo"""] * 5] * n,
              """labels""": [[1] * 5] * n,
              """answers""": [{"""answer_start""": [97], """text""": ["""1976"""]}] * 10,
              """id""": list(range(_a     )     ),
          },features=_a,)
      return dataset







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     Optional[int]			=						str(tmp_path_factory.mktemp("""data"""     ) / """file.arrow"""     )
      dataset.map(cache_file_name=_a     )
      return filename


# FILE_CONTENT + files


_snake_case										=       "\\n    Text data.\n    Second line of data."







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     int			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt"""
      _A							:     Dict			=						FILE_CONTENT
      with open(_a,"""w"""     ) as f:
            f.write(_a     )
      return filename







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      import bza

      _A							:     Dict			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.bz2"""
      _A							:     Tuple			=						bytes(_a,"""utf-8"""     )
      with bza.open(_a,"""wb"""     ) as f:
            f.write(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      import gzip

      _A							:     Any			=						str(tmp_path_factory.mktemp("""data"""     ) / """file.txt.gz"""     )
      _A							:     List[str]			=						bytes(_a,"""utf-8"""     )
      with gzip.open(_a,"""wb"""     ) as f:
            f.write(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      if datasets.config.LZ4_AVAILABLE:
            import lza.frame

            _A							:     str			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.lz4"""
            _A							:     List[Any]			=						bytes(_a,"""utf-8"""     )
            with lza.frame.open(_a,"""wb"""     ) as f:
                  f.write(_a     )
            return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      if datasets.config.PY7ZR_AVAILABLE:
            import pyazr

            _A							:     int			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.7z"""
            with pyazr.SevenZipFile(_a,"""w"""     ) as archive:
                  archive.write(_a,arcname=os.path.basename(_a     )     )
            return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      import tarfile

      _A							:     List[Any]			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.tar"""
      with tarfile.TarFile(_a,"""w"""     ) as f:
            f.add(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      import lzma

      _A							:     List[Any]			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.xz"""
      _A							:     Dict			=						bytes(_a,"""utf-8"""     )
      with lzma.open(_a,"""wb"""     ) as f:
            f.write(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      import zipfile

      _A							:     Optional[int]			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      if datasets.config.ZSTANDARD_AVAILABLE:
            import zstandard as zstd

            _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """file.txt.zst"""
            _A							:     List[str]			=						bytes(_a,"""utf-8"""     )
            with zstd.open(_a,"""wb"""     ) as f:
                  f.write(_a     )
            return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Optional[Any]			=						tmp_path_factory.mktemp("""data"""     ) / """file.xml"""
      _A							:     Optional[int]			=						textwrap.dedent(
          """\
    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>
    <tmx version=\"1.4\">
      <header segtype=\"sentence\" srclang=\"ca\" />
      <body>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>
        </tu>
      </body>
    </tmx>"""     )
      with open(_a,"""w"""     ) as f:
            f.write(_a     )
      return filename


_snake_case										=       [
    {"col_1": "0", "col_2": 0, "col_3": 0.0},
    {"col_1": "1", "col_2": 1, "col_3": 1.0},
    {"col_1": "2", "col_2": 2, "col_3": 2.0},
    {"col_1": "3", "col_2": 3, "col_3": 3.0},
]
_snake_case										=       [
    {"col_1": "4", "col_2": 4, "col_3": 4.0},
    {"col_1": "5", "col_2": 5, "col_3": 5.0},
]
_snake_case										=       {
    "col_1": ["0", "1", "2", "3"],
    "col_2": [0, 1, 2, 3],
    "col_3": [0.0, 1.0, 2.0, 3.0],
}

_snake_case										=       [
    {"col_3": 0.0, "col_1": "0", "col_2": 0},
    {"col_3": 1.0, "col_1": "1", "col_2": 1},
]

_snake_case										=       [
    {"col_1": "s0", "col_2": 0, "col_3": 0.0},
    {"col_1": "s1", "col_2": 1, "col_3": 1.0},
    {"col_1": "s2", "col_2": 2, "col_3": 2.0},
    {"col_1": "s3", "col_2": 3, "col_3": 3.0},
]







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     ):
      return DATA_DICT_OF_LISTS







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Optional[Any]			=						datasets.Dataset.from_dict(_a     )
      _A							:     List[str]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.arrow"""     )
      dataset.map(cache_file_name=_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Optional[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.sqlite"""     )
      with contextlib.closing(sqlitea.connect(_a     )     ) as con:
            _A							:     str			=						con.cursor()
            cur.execute("""CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"""     )
            for item in DATA:
                  cur.execute("""INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)""",tuple(item.values()     )     )
            con.commit()
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Tuple			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.csv"""     )
      with open(_a,"""w""",newline=""""""     ) as f:
            _A							:     List[str]			=						csv.DictWriter(_a,fieldnames=["""col_1""", """col_2""", """col_3"""]     )
            writer.writeheader()
            for item in DATA:
                  writer.writerow(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Optional[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset2.csv"""     )
      with open(_a,"""w""",newline=""""""     ) as f:
            _A							:     int			=						csv.DictWriter(_a,fieldnames=["""col_1""", """col_2""", """col_3"""]     )
            writer.writeheader()
            for item in DATA:
                  writer.writerow(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      import bza

      _A							:     int			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.csv.bz2"""
      with open(_a,"""rb"""     ) as f:
            _A							:     int			=						f.read()
      # data = bytes(FILE_CONTENT, "utf-8")
      with bza.open(_a,"""wb"""     ) as f:
            f.write(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     str			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.csv.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(_a     )     )
            f.write(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     int			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.csv.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(csv_path.replace(""".csv""",""".CSV"""     )     )     )
            f.write(_a,arcname=os.path.basename(csva_path.replace(""".csv""",""".CSV"""     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset_with_dir.csv.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.parquet"""     )
      _A							:     List[Any]			=						pa.schema(
          {
              """col_1""": pa.string(),
              """col_2""": pa.intaa(),
              """col_3""": pa.floataa(),
          }     )
      with open(_a,"""wb"""     ) as f:
            _A							:     int			=						pq.ParquetWriter(_a,schema=_a     )
            _A							:     Optional[Any]			=						pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_a     )     )] for k in DATA[0]},schema=_a     )
            writer.write_table(_a     )
            writer.close()
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.json"""     )
      _A							:     List[str]			=						{"""data""": DATA}
      with open(_a,"""w"""     ) as f:
            json.dump(_a,_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.json"""     )
      _A							:     List[Any]			=						{"""data""": DATA_DICT_OF_LISTS}
      with open(_a,"""w"""     ) as f:
            json.dump(_a,_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.jsonl"""     )
      with open(_a,"""w"""     ) as f:
            for item in DATA:
                  f.write(json.dumps(_a     ) + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Dict			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset2.jsonl"""     )
      with open(_a,"""w"""     ) as f:
            for item in DATA:
                  f.write(json.dumps(_a     ) + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Union[str, Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset_312.jsonl"""     )
      with open(_a,"""w"""     ) as f:
            for item in DATA_312:
                  f.write(json.dumps(_a     ) + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Union[str, Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset-str.jsonl"""     )
      with open(_a,"""w"""     ) as f:
            for item in DATA_STR:
                  f.write(json.dumps(_a     ) + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      import gzip

      _A							:     List[Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.txt.gz"""     )
      with open(_a,"""rb"""     ) as orig_file:
            with gzip.open(_a,"""wb"""     ) as zipped_file:
                  zipped_file.writelines(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      import gzip

      _A							:     Union[str, Any]			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.jsonl.gz"""     )
      with open(_a,"""rb"""     ) as orig_file:
            with gzip.open(_a,"""wb"""     ) as zipped_file:
                  zipped_file.writelines(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     Optional[int]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.jsonl.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(_a     )     )
            f.write(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_,snake_case_     ):
      _A							:     List[Any]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset_nested.jsonl.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.join("""nested""",os.path.basename(_a     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     Any			=						tmp_path_factory.mktemp("""data"""     ) / """dataset_with_dir.jsonl.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     Union[str, Any]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.jsonl.tar"""
      with tarfile.TarFile(_a,"""w"""     ) as f:
            f.add(_a,arcname=os.path.basename(_a     )     )
            f.add(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_,snake_case_     ):
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset_nested.jsonl.tar"""
      with tarfile.TarFile(_a,"""w"""     ) as f:
            f.add(_a,arcname=os.path.join("""nested""",os.path.basename(_a     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						["""0""", """1""", """2""", """3"""]
      _A							:     str			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset.txt"""     )
      with open(_a,"""w"""     ) as f:
            for item in data:
                  f.write(item + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     int			=						["""0""", """1""", """2""", """3"""]
      _A							:     Tuple			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset2.txt"""     )
      with open(_a,"""w"""     ) as f:
            for item in data:
                  f.write(item + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     Optional[int]			=						["""0""", """1""", """2""", """3"""]
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.abc"""
      with open(_a,"""w"""     ) as f:
            for item in data:
                  f.write(item + """\n"""     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.text.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(_a     )     )
            f.write(_a,arcname=os.path.basename(_a     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     str			=						tmp_path_factory.mktemp("""data"""     ) / """dataset_with_dir.text.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
            f.write(_a,arcname=os.path.join("""main_dir""",os.path.basename(_a     )     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_,snake_case_     ):
      _A							:     Optional[int]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.ext.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename("""unsupported.ext"""     )     )
            f.write(_a,arcname=os.path.basename("""unsupported_2.ext"""     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[Any]			=						"""\n""".join(["""First""", """Second\u2029with Unicode new line""", """Third"""]     )
      _A							:     str			=						str(tmp_path_factory.mktemp("""data"""     ) / """dataset_with_unicode_new_lines.txt"""     )
      with open(_a,"""w""",encoding="""utf-8"""     ) as f:
            f.write(_a     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     ):
      return os.path.join("""tests""","""features""","""data""","""test_image_rgb.jpg"""     )







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     ):
      return os.path.join("""tests""","""features""","""data""","""test_audio_44100.wav"""     )







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data"""     ) / """dataset.img.zip"""
      with zipfile.ZipFile(_a,"""w"""     ) as f:
            f.write(_a,arcname=os.path.basename(_a     )     )
            f.write(_a,arcname=os.path.basename(_a     ).replace(""".jpg""","""2.jpg"""     )     )
      return path







@pytest.fixture(scope="""session"""     )
def 				lowerCAmelCase_	(     snake_case_     ):
      _A							:     List[str]			=						tmp_path_factory.mktemp("""data_dir"""     )

      (data_dir / "subdir").mkdir()
      with open(data_dir / """subdir""" / """train.txt""","""w"""     ) as f:
            f.write("""foo\n""" * 10     )
      with open(data_dir / """subdir""" / """test.txt""","""w"""     ) as f:
            f.write("""bar\n""" * 10     )
      # hidden file
      with open(data_dir / """subdir""" / """.test.txt""","""w"""     ) as f:
            f.write("""bar\n""" * 10     )

      # hidden directory
      (data_dir / ".subdir").mkdir()
      with open(data_dir / """.subdir""" / """train.txt""","""w"""     ) as f:
            f.write("""foo\n""" * 10     )
      with open(data_dir / """.subdir""" / """test.txt""","""w"""     ) as f:
            f.write("""bar\n""" * 10     )

      return data_dir







'''simple docstring'''







import argparse
import logging
from collections import namedtuple

import torch
from model_bertabs import BertAbsSummarizer
from models.model_builder import AbsSummarizer  # The authors' implementation

from transformers import BertTokenizer


logging.basicConfig(level=logging.INFO)
A     =logging.getLogger(__name__)


A     ='Hello world! cécé herlolip'


A     =namedtuple(
    'BertAbsConfig',
    [
        'temp_dir',
        'large',
        'use_bert_emb',
        'finetune_bert',
        'encoder',
        'share_emb',
        'max_pos',
        'enc_layers',
        'enc_hidden_size',
        'enc_heads',
        'enc_ff_size',
        'enc_dropout',
        'dec_layers',
        'dec_hidden_size',
        'dec_heads',
        'dec_ff_size',
        'dec_dropout',
    ],
)





def 						snake_case_							(_a	:							List[Any]    ,   _a	:							Any     ):
    UpperCAmelCase			       =		BertAbsConfig(
        temp_dir='''.'''    ,   finetune_bert=_a    ,   large=_a    ,   share_emb=_a    ,   use_bert_emb=_a    ,   encoder='''bert'''    ,   max_pos=5_1_2    ,   enc_layers=6    ,   enc_hidden_size=5_1_2    ,   enc_heads=8    ,   enc_ff_size=5_1_2    ,   enc_dropout=0.2    ,   dec_layers=6    ,   dec_hidden_size=7_6_8    ,   dec_heads=8    ,   dec_ff_size=2_0_4_8    ,   dec_dropout=0.2    ,   )
    UpperCAmelCase			       =		torch.load(_a    ,   lambda _a    ,   _a     : storage     )
    UpperCAmelCase			       =		AbsSummarizer(_a    ,   torch.device('''cpu'''     )    ,   _a     )
    original.eval()

    UpperCAmelCase			       =		BertAbsSummarizer(_a    ,   torch.device('''cpu'''     )     )
    new_model.eval()

    # -------------------
    # Convert the weights
    # -------------------

    logging.info('''convert the model'''     )
    new_model.bert.load_state_dict(original.bert.state_dict()     )
    new_model.decoder.load_state_dict(original.decoder.state_dict()     )
    new_model.generator.load_state_dict(original.generator.state_dict()     )

    # ----------------------------------
    # Make sure the outpus are identical
    # ----------------------------------

    logging.info('''Make sure that the models\' outputs are identical'''     )
    UpperCAmelCase			       =		BertTokenizer.from_pretrained('''bert-base-uncased'''     )

    # prepare the model inputs
    UpperCAmelCase			       =		tokenizer.encode('''This is sample éàalj\'-.'''     )
    encoder_input_ids.extend([tokenizer.pad_token_id] * (5_1_2 - len(_a     ))     )
    UpperCAmelCase			       =		torch.tensor(_a     ).unsqueeze(0     )
    UpperCAmelCase			       =		tokenizer.encode('''This is sample 3 éàalj\'-.'''     )
    decoder_input_ids.extend([tokenizer.pad_token_id] * (5_1_2 - len(_a     ))     )
    UpperCAmelCase			       =		torch.tensor(_a     ).unsqueeze(0     )

    # failsafe to make sure the weights reset does not affect the
    # loaded weights.
    assert torch.max(torch.abs(original.generator[0].weight - new_model.generator[0].weight     )     ) == 0

    # forward pass
    UpperCAmelCase			       =		encoder_input_ids
    UpperCAmelCase			       =		decoder_input_ids
    UpperCAmelCase			       =		UpperCAmelCase			       =		None
    UpperCAmelCase			       =		None
    UpperCAmelCase			       =		UpperCAmelCase			       =		None
    UpperCAmelCase			       =		UpperCAmelCase			       =		None
    UpperCAmelCase			       =		None

    # The original model does not apply the geneator layer immediatly but rather in
    # the beam search (where it combines softmax + linear layer). Since we already
    # apply the softmax in our generation process we only apply the linear layer here.
    # We make sure that the outputs of the full stack are identical
    UpperCAmelCase			       =		original(_a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a     )[0]
    UpperCAmelCase			       =		original.generator(_a     )

    UpperCAmelCase			       =		new_model(
        _a    ,   _a    ,   _a    ,   _a    ,   _a     )[0]
    UpperCAmelCase			       =		new_model.generator(_a     )

    UpperCAmelCase			       =		torch.max(torch.abs(output_converted_model - output_original_model     )     ).item()
    print('''Maximum absolute difference beween weights: {:.2f}'''.format(_a     )     )
    UpperCAmelCase			       =		torch.max(torch.abs(output_converted_generator - output_original_generator     )     ).item()
    print('''Maximum absolute difference beween weights: {:.2f}'''.format(_a     )     )

    UpperCAmelCase			       =		torch.allclose(_a    ,   _a    ,   atol=1E-3     )
    if are_identical:
        logging.info('''all weights are equal up to 1e-3'''     )
    else:
        raise ValueError('''the weights are different. The new model is likely different from the original one.'''     )

    # The model has been saved with torch.save(model) and this is bound to the exact
    # directory structure. We save the state_dict instead.
    logging.info('''saving the model\'s state dictionary'''     )
    torch.save(
        new_model.state_dict()    ,   '''./bertabs-finetuned-cnndm-extractive-abstractive-summarization/pytorch_model.bin'''     )


if __name__ == "__main__":
   A     =argparse.ArgumentParser()
   parser.add_argument(
       '--bertabs_checkpoint_path',
       default=None,
       type=str,
       required=True,
       help='Path the official PyTorch dump.',
   )
   parser.add_argument(
       '--pytorch_dump_folder_path',
       default=None,
       type=str,
       required=True,
       help='Path to the output PyTorch model.',
   )
   A     =parser.parse_args()

   convert_bertabs_checkpoints(
       args.bertabs_checkpoint_path,
       args.pytorch_dump_folder_path,
   )




