



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,
)


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

__snake_case  ='file'






@pytest.fixture(scope='''session''')
def      lowerCAmelCase__		(   lowerCamelCase_		:		Optional[int]):





				'''simple docstring'''

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






@pytest.fixture
def      lowerCAmelCase__		(   lowerCamelCase_		:		Union[str, Any]):





				'''simple docstring'''

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






@pytest.mark.parametrize('''compression_format'''	,['''gzip''', '''xz''', '''zstd'''])
def      lowerCAmelCase__		(   lowerCamelCase_		:		int	,lowerCamelCase_		:		List[str]	,lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		Dict	,lowerCamelCase_		:		List[str]	,lowerCamelCase_		:		List[str]):





				'''simple docstring'''

				lowerCAmelCase__					:    List[str]												=					{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
				lowerCAmelCase__					:    Optional[Any]												=					input_paths[compression_format]
				lowerCAmelCase__					:    Union[str, Any]												=					tmp_path / '''cache'''
				lowerCAmelCase__					:    Dict												=					DownloadConfig(cache_dir=lowerCamelCase_	,extract_compressed_file=lowerCamelCase_)
				lowerCAmelCase__					:    List[Any]												=					cached_path(lowerCamelCase_	,download_config=lowerCamelCase_)
				with open(lowerCamelCase_) as f:
								lowerCAmelCase__					:    Union[str, Any]												=					f.read()
				with open(lowerCamelCase_) as f:
								lowerCAmelCase__					:    Optional[Any]												=					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      lowerCAmelCase__		(   lowerCamelCase_		:		List[Any]	,lowerCamelCase_		:		Dict	,lowerCamelCase_		:		int	,lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		Optional[int]):





				'''simple docstring'''

				lowerCAmelCase__					:    List[str]												=					'''custom_cache'''
				lowerCAmelCase__					:    List[str]												=					'''custom_extracted_dir'''
				lowerCAmelCase__					:    Any												=					tmp_path / '''custom_extracted_path'''
				if default_extracted:
								lowerCAmelCase__					:    List[Any]												=					('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
				else:
								monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''	,lowerCamelCase_)
								monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''	,str(lowerCamelCase_))
								lowerCAmelCase__					:    Optional[Any]												=					custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

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






def      lowerCAmelCase__		(   lowerCamelCase_		:		Union[str, Any]):





				'''simple docstring'''

				lowerCAmelCase__					:    List[Any]												=					str(Path(lowerCamelCase_).resolve())
				assert cached_path(lowerCamelCase_) == text_file
				# relative path
				lowerCAmelCase__					:    List[str]												=					str(Path(lowerCamelCase_).resolve().relative_to(Path(os.getcwd())))
				assert cached_path(lowerCamelCase_) == text_file






def      lowerCAmelCase__		(   lowerCamelCase_		:		int):





				'''simple docstring'''

				lowerCAmelCase__					:    str												=					str(tmp_path.resolve() / '''__missing_file__.txt''')
				with pytest.raises(lowerCamelCase_):
								cached_path(lowerCamelCase_)
				# relative path
				lowerCAmelCase__					:    Optional[int]												=					'''./__missing_file__.txt'''
				with pytest.raises(lowerCamelCase_):
								cached_path(lowerCamelCase_)






def      lowerCAmelCase__		(   lowerCamelCase_		:		str):





				'''simple docstring'''

				lowerCAmelCase__					:    int												=					get_from_cache(f"""tmp://{tmpfs_file}""")
				with open(lowerCamelCase_) as f:
								lowerCAmelCase__					:    Any												=					f.read()
				assert output_file_content == FILE_CONTENT






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCamelCase_)
def      lowerCAmelCase__		(   ):





				'''simple docstring'''

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






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCamelCase_)
def      lowerCAmelCase__		(   lowerCamelCase_		:		Any):





				'''simple docstring'''

				lowerCAmelCase__					:    Optional[int]												=					tmp_path_factory.mktemp('''data''') / '''file.html'''
				with pytest.raises(lowerCamelCase_):
								http_get('''https://huggingface.co'''	,temp_file=lowerCamelCase_)
				with pytest.raises(lowerCamelCase_):
								http_head('''https://huggingface.co''')






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCamelCase_)
def      lowerCAmelCase__		(   lowerCamelCase_		:		int):





				'''simple docstring'''

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






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCamelCase_)
def      lowerCAmelCase__		(   lowerCamelCase_		:		Dict):





				'''simple docstring'''

				lowerCAmelCase__					:    List[Any]												=					tmp_path_factory.mktemp('''data''') / '''file.html'''
				with pytest.raises(lowerCamelCase_):
								fsspec_get('''s3://huggingface.co'''	,temp_file=lowerCamelCase_)
				with pytest.raises(lowerCamelCase_):
								fsspec_head('''s3://huggingface.co''')






import fire
from torch.utils.data import DataLoader
from tqdm import tqdm

from transformers import AutoTokenizer
from utils import SeqaSeqDataset, pickle_save






def      lowerCAmelCase__		(   lowerCamelCase_		:		Dict	,lowerCamelCase_		:		Optional[int]	,lowerCamelCase_		:		List[Any]=1024	,lowerCamelCase_		:		int=1024	,lowerCamelCase_		:		Dict=False	,**lowerCamelCase_		:		Tuple):





				'''simple docstring'''

				lowerCAmelCase__					:    Optional[int]												=					AutoTokenizer.from_pretrained(lowerCamelCase_)
				lowerCAmelCase__					:    Optional[Any]												=					SeqaSeqDataset(lowerCamelCase_	,lowerCamelCase_	,lowerCamelCase_	,lowerCamelCase_	,type_path='''train'''	,**lowerCamelCase_)
				lowerCAmelCase__					:    int												=					tok.pad_token_id

				def get_lens(lowerCamelCase_		:		Tuple):
								lowerCAmelCase__					:    Tuple												=					tqdm(
								    DataLoader(lowerCamelCase_	,batch_size=512	,num_workers=8	,shuffle=lowerCamelCase_	,collate_fn=ds.collate_fn)	,desc=str(ds.len_file)	,)
								lowerCAmelCase__					:    Tuple												=					[]
								for batch in dl:
												lowerCAmelCase__					:    Dict												=					batch['''input_ids'''].ne(lowerCamelCase_).sum(1).tolist()
												lowerCAmelCase__					:    Dict												=					batch['''labels'''].ne(lowerCamelCase_).sum(1).tolist()
												if consider_target:
																for src, tgt in zip(lowerCamelCase_	,lowerCamelCase_):
																				max_lens.append(max(lowerCamelCase_	,lowerCamelCase_))
												else:
																max_lens.extend(lowerCamelCase_)
								return max_lens

				lowerCAmelCase__					:    str												=					get_lens(lowerCamelCase_)
				lowerCAmelCase__					:    Tuple												=					SeqaSeqDataset(lowerCamelCase_	,lowerCamelCase_	,lowerCamelCase_	,lowerCamelCase_	,type_path='''val'''	,**lowerCamelCase_)
				lowerCAmelCase__					:    Optional[int]												=					get_lens(lowerCamelCase_)
				pickle_save(lowerCamelCase_	,train_ds.len_file)
				pickle_save(lowerCamelCase_	,val_ds.len_file)


if __name__ == "__main__":
							fire.Fire(save_len_file)

