




import argparse

import torch

from transformers import YosoConfig, YosoForMaskedLM






def  snake_case(    __magic_name__   )			->							Union[str, Any]:





     '''simple docstring'''


     if "model" in orig_key:
          lowercase :       Tuple       =			orig_key.replace('''model.'''			,		''''''   )
     if "norm1" in orig_key:
          lowercase :       List[str]       =			orig_key.replace('''norm1'''			,		'''attention.output.LayerNorm'''   )
     if "norm2" in orig_key:
          lowercase :       Dict       =			orig_key.replace('''norm2'''			,		'''output.LayerNorm'''   )
     if "norm" in orig_key:
          lowercase :       List[str]       =			orig_key.replace('''norm'''			,		'''LayerNorm'''   )
     if "transformer" in orig_key:
          lowercase :       Optional[Any]       =			orig_key.split('''.'''   )[0].split('''_'''   )[-1]
          lowercase :       List[str]       =			orig_key.replace(F"""transformer_{layer_num}"""			,		F"""encoder.layer.{layer_num}"""   )
     if "mha.attn" in orig_key:
          lowercase :       Dict       =			orig_key.replace('''mha.attn'''			,		'''attention.self'''   )
     if "mha" in orig_key:
          lowercase :       Any       =			orig_key.replace('''mha'''			,		'''attention'''   )
     if "W_q" in orig_key:
          lowercase :       List[Any]       =			orig_key.replace('''W_q'''			,		'''self.query'''   )
     if "W_k" in orig_key:
          lowercase :       Dict       =			orig_key.replace('''W_k'''			,		'''self.key'''   )
     if "W_v" in orig_key:
          lowercase :       Optional[Any]       =			orig_key.replace('''W_v'''			,		'''self.value'''   )
     if "ff1" in orig_key:
          lowercase :       int       =			orig_key.replace('''ff1'''			,		'''intermediate.dense'''   )
     if "ff2" in orig_key:
          lowercase :       Tuple       =			orig_key.replace('''ff2'''			,		'''output.dense'''   )
     if "ff" in orig_key:
          lowercase :       Any       =			orig_key.replace('''ff'''			,		'''output.dense'''   )
     if "mlm_class" in orig_key:
          lowercase :       Dict       =			orig_key.replace('''mlm.mlm_class'''			,		'''cls.predictions.decoder'''   )
     if "mlm" in orig_key:
          lowercase :       Tuple       =			orig_key.replace('''mlm'''			,		'''cls.predictions.transform'''   )
     if "cls" not in orig_key:
          lowercase :       Tuple       =			'''yoso.''' + orig_key

     return orig_key






def  snake_case(    __magic_name__			,		__magic_name__   )			->							str:





     '''simple docstring'''


     for key in orig_state_dict.copy().keys():
          lowercase :       Tuple       =			orig_state_dict.pop(__magic_name__   )

          if ("pooler" in key) or ("sen_class" in key):
               continue
          else:
               lowercase :       Tuple       =			val

     lowercase :       Dict       =			orig_state_dict['''cls.predictions.decoder.bias''']
     lowercase :       List[Any]       =			torch.arange(__magic_name__   ).expand((1, -1)   ) + 2

     return orig_state_dict






def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__   )			->							str:





     '''simple docstring'''


     lowercase :       int       =			torch.load(__magic_name__			,		map_location='''cpu'''   )['''model_state_dict''']
     lowercase :       Dict       =			YosoConfig.from_json_file(__magic_name__   )
     lowercase :       int       =			YosoForMaskedLM(__magic_name__   )

     lowercase :       Optional[int]       =			convert_checkpoint_helper(config.max_position_embeddings			,		__magic_name__   )

     print(model.load_state_dict(__magic_name__   )   )
     model.eval()
     model.save_pretrained(__magic_name__   )

     print(F"""Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"""   )


if __name__ == "__main__":
 lowerCAmelCase_						=			argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     '--pytorch_model_path', default=None, type=str, required=True, help='Path to YOSO pytorch checkpoint.'
 )
 parser.add_argument(
     '--config_file',
     default=None,
     type=str,
     required=True,
     help='The json file for YOSO model config.',
 )
 parser.add_argument(
     '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
 )
 lowerCAmelCase_						=			parser.parse_args()
 convert_yoso_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)





import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


lowerCAmelCase_						=			'\\n    Text data.\n    Second line of data.'

lowerCAmelCase_						=			'file'






@pytest.fixture(scope='''session'''   )
def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Any       =			tmp_path_factory.mktemp('''data'''   ) / (FILE_PATH + '''.zstd''')
     lowercase :       List[Any]       =			bytes(__magic_name__			,		'''utf-8'''   )
     with zstd.open(__magic_name__			,		'''wb'''   ) as f:
          f.write(__magic_name__   )
     return path






@pytest.fixture
def  snake_case(    __magic_name__   )			->							List[Any]:





     '''simple docstring'''


     with open(os.path.join(tmpfs.local_root_dir			,		__magic_name__   )			,		'''w'''   ) as f:
          f.write(__magic_name__   )
     return FILE_PATH






@pytest.mark.parametrize('''compression_format'''			,		['''gzip''', '''xz''', '''zstd''']   )
def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Optional[int]       =			{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
     lowercase :       int       =			input_paths[compression_format]
     lowercase :       Any       =			tmp_path / '''cache'''
     lowercase :       int       =			DownloadConfig(cache_dir=__magic_name__			,		extract_compressed_file=__magic_name__   )
     lowercase :       Optional[Any]       =			cached_path(__magic_name__			,		download_config=__magic_name__   )
     with open(__magic_name__   ) as f:
          lowercase :       Optional[int]       =			f.read()
     with open(__magic_name__   ) as f:
          lowercase :       str       =			f.read()
     assert extracted_file_content == expected_file_content






@pytest.mark.parametrize('''default_extracted'''			,		[True, False]   )
@pytest.mark.parametrize('''default_cache_dir'''			,		[True, False]   )
def  snake_case(    __magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__			,		__magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       Dict       =			'''custom_cache'''
     lowercase :       Union[str, Any]       =			'''custom_extracted_dir'''
     lowercase :       str       =			tmp_path / '''custom_extracted_path'''
     if default_extracted:
          lowercase :       Tuple       =			('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
     else:
          monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''			,		__magic_name__   )
          monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''			,		str(__magic_name__   )   )
          lowercase :       int       =			custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

     lowercase :       List[str]       =			xz_file
     lowercase :       Any       =			(
         DownloadConfig(extract_compressed_file=__magic_name__   )
         if default_cache_dir
         else DownloadConfig(cache_dir=tmp_path / custom_cache_dir			,		extract_compressed_file=__magic_name__   )
     )
     lowercase :       Optional[int]       =			cached_path(__magic_name__			,		download_config=__magic_name__   )
     assert Path(__magic_name__   ).parent.parts[-2:] == expected






def  snake_case(    __magic_name__   )			->							List[Any]:





     '''simple docstring'''


     lowercase :       Any       =			str(Path(__magic_name__   ).resolve()   )
     assert cached_path(__magic_name__   ) == text_file
     # relative path
     lowercase :       Union[str, Any]       =			str(Path(__magic_name__   ).resolve().relative_to(Path(os.getcwd()   )   )   )
     assert cached_path(__magic_name__   ) == text_file






def  snake_case(    __magic_name__   )			->							Union[str, Any]:





     '''simple docstring'''


     lowercase :       List[Any]       =			str(tmp_path.resolve() / '''__missing_file__.txt'''   )
     with pytest.raises(__magic_name__   ):
          cached_path(__magic_name__   )
     # relative path
     lowercase :       Optional[int]       =			'''./__missing_file__.txt'''
     with pytest.raises(__magic_name__   ):
          cached_path(__magic_name__   )






def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       List[str]       =			get_from_cache(F"""tmp://{tmpfs_file}"""   )
     with open(__magic_name__   ) as f:
          lowercase :       List[Any]       =			f.read()
     assert output_file_content == FILE_CONTENT






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    )			->							List[Any]:





     '''simple docstring'''


     with pytest.raises(__magic_name__   ):
          cached_path('''https://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							Tuple:





     '''simple docstring'''


     lowercase :       Any       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          http_get('''https://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          http_head('''https://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							Optional[Any]:





     '''simple docstring'''


     lowercase :       Optional[Any]       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          ftp_get('''ftp://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          ftp_head('''ftp://huggingface.co'''   )






@patch('''datasets.config.HF_DATASETS_OFFLINE'''			,		__magic_name__   )
def  snake_case(    __magic_name__   )			->							List[str]:





     '''simple docstring'''


     lowercase :       str       =			tmp_path_factory.mktemp('''data'''   ) / '''file.html'''
     with pytest.raises(__magic_name__   ):
          fsspec_get('''s3://huggingface.co'''			,		temp_file=__magic_name__   )
     with pytest.raises(__magic_name__   ):
          fsspec_head('''s3://huggingface.co'''   )