


'''simple docstring'''






import argparse
import shutil
import time
from json import JSONDecodeError
from logging import getLogger
from pathlib import Path
from typing import Dict, List

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

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from utils import (
    SeqaSeqDataset,
    calculate_bleu,
    calculate_rouge,
    chunks,
    lmap,
    load_json,
    parse_numeric_n_bool_cl_kwargs,
    save_json,
    use_task_specific_params,
    write_txt_file,
)


__UpperCAmelCase       =							getLogger(__name__)


def  _snake_case       (					A			,   A			,   A			,   A = 8			,   A = 1024			,   A="val"			,   A=None			,   A=False			,   A="summarization"			,   A=None			,   A=1			,   A = None			,   A=""			,   **A			,   )						->   Dict:
							lowerCAmelCase__	       =     str(A	)
							assert local_rank is not None
							torch.distributed.init_process_group(backend='''nccl'''			,   rank=A	)

							lowerCAmelCase__	       =     Path(A	)
							lowerCAmelCase__	       =     save_dir.joinpath(F"""rank_{local_rank}_output.json"""	)
							torch.cuda.set_device(A	)
							lowerCAmelCase__	       =     AutoModelForSeqaSeqLM.from_pretrained(A	).cuda()
							if fpaa:
														lowerCAmelCase__	       =     model.half()
							# determine if we need to increase num_beams
							use_task_specific_params(A			,   A	)  # update config with task specific params
							lowerCAmelCase__	       =     generate_kwargs.pop('''num_beams'''			,   model.config.num_beams	)  # AttributeError risk?
							if num_return_sequences > num_beams:
														lowerCAmelCase__	       =     num_return_sequences

							lowerCAmelCase__	       =     AutoTokenizer.from_pretrained(A	)
							logger.info(F"""Inferred tokenizer type: {tokenizer.__class__}"""	)  # if this is wrong, check config.model_type.

							if max_source_length is None:
														lowerCAmelCase__	       =     tokenizer.model_max_length
							if prefix is None:
														lowerCAmelCase__	       =     prefix or getattr(model.config			,   '''prefix'''			,   ''''''	) or ''''''
							lowerCAmelCase__	       =     SeqaSeqDataset(
							    A			,   A			,   A			,   max_target_length=1024			,   type_path=A			,   n_obs=A			,   prefix=A			,   **A			,   )
							# I set shuffle=True for a more accurate progress bar.
							# If all the longest samples are first, the prog bar estimate is too high at the beginning.
							lowerCAmelCase__	       =     ds.make_sortish_sampler(A			,   distributed=A			,   add_extra_examples=A			,   shuffle=A	)
							lowerCAmelCase__	       =     DataLoader(A			,   sampler=A			,   batch_size=A			,   collate_fn=ds.collate_fn	)
							lowerCAmelCase__	       =     []
							for batch in tqdm(A	):
														lowerCAmelCase__	       =     model.generate(
														    input_ids=batch['''input_ids'''].to(model.device	)			,   attention_mask=batch['''attention_mask'''].to(model.device	)			,   num_return_sequences=A			,   num_beams=A			,   **A			,   )
														lowerCAmelCase__	       =     tokenizer.batch_decode(A			,   skip_special_tokens=A			,   clean_up_tokenization_spaces=A	)
														lowerCAmelCase__	       =     batch['''ids''']
														if num_return_sequences > 1:
																					lowerCAmelCase__	       =     chunks(A			,   A	)  # batch size chunks, each of size num_return_seq
														for i, pred in enumerate(A	):
																					results.append({'''pred''': pred, '''id''': ids[i].item()}	)
							save_json(A			,   A	)
							return results, sampler.num_replicas


def  _snake_case       (					)						->   Optional[Any]:
							lowerCAmelCase__	       =     argparse.ArgumentParser(
							    epilog='''Unspecified args like --num_beams=2 --decoder_start_token_id=4 are passed to model.generate'''	)
							parser.add_argument('''--data_dir'''			,   type=A			,   help='''like cnn_dm/test.source'''	)
							parser.add_argument(
							    '''--model_name'''			,   type=A			,   help='''like facebook/bart-large-cnn,t5-base, etc.'''			,   default='''sshleifer/distilbart-xsum-12-3'''			,   )
							parser.add_argument('''--save_dir'''			,   type=A			,   help='''where to save'''			,   default='''tmp_gen'''	)
							parser.add_argument('''--max_source_length'''			,   type=A			,   default=A	)
							parser.add_argument(
							    '''--type_path'''			,   type=A			,   default='''test'''			,   help='''which subset to evaluate typically train/val/test'''	)
							parser.add_argument('''--task'''			,   type=A			,   default='''summarization'''			,   help='''used for task_specific_params + metrics'''	)
							parser.add_argument('''--bs'''			,   type=A			,   default=8			,   required=A			,   help='''batch size'''	)
							parser.add_argument(
							    '''--local_rank'''			,   type=A			,   default=-1			,   required=A			,   help='''should be passed by distributed.launch'''	)

							parser.add_argument(
							    '''--n_obs'''			,   type=A			,   default=A			,   required=A			,   help='''How many observations. Defaults to all.'''	)
							parser.add_argument(
							    '''--num_return_sequences'''			,   type=A			,   default=1			,   required=A			,   help='''How many sequences to return'''	)
							parser.add_argument(
							    '''--sync_timeout'''			,   type=A			,   default=600			,   required=A			,   help='''How long should master process wait for other processes to finish.'''			,   )
							parser.add_argument('''--src_lang'''			,   type=A			,   default=A			,   required=A	)
							parser.add_argument('''--tgt_lang'''			,   type=A			,   default=A			,   required=A	)
							parser.add_argument(
							    '''--prefix'''			,   type=A			,   required=A			,   default=A			,   help='''will be added to the begininng of src examples'''	)
							parser.add_argument('''--fp16'''			,   action='''store_true'''	)
							parser.add_argument('''--debug'''			,   action='''store_true'''	)
							lowerCAmelCase__	       =     time.time()
							lowerCAmelCase__       , lowerCAmelCase__	       =     parser.parse_known_args()
							lowerCAmelCase__	       =     parse_numeric_n_bool_cl_kwargs(A	)
							if generate_kwargs and args.local_rank <= 0:
														print(F"""parsed the following generate kwargs: {generate_kwargs}"""	)
							lowerCAmelCase__	       =     Path(args.save_dir + '''_tmp'''	)
							Path(A	).mkdir(exist_ok=A	)  # this handles locking.
							lowerCAmelCase__	       =     list(json_save_dir.glob('''rank_*.json'''	)	)
							if intermediate_files:
														raise ValueError(F"""Found files at {json_save_dir} please move or remove them."""	)
														# In theory, a node could finish and save before another node hits this. If this happens, we can address later.
							lowerCAmelCase__	       =     {}
							if args.src_lang is not None:
														lowerCAmelCase__	       =     args.src_lang
							if args.tgt_lang is not None:
														lowerCAmelCase__	       =     args.tgt_lang

							Path(args.save_dir	).mkdir(exist_ok=A	)
							lowerCAmelCase__       , lowerCAmelCase__	       =     eval_data_dir(
							    args.data_dir			,   A			,   args.model_name			,   type_path=args.type_path			,   bs=args.bs			,   fpaa=args.fpaa			,   task=args.task			,   local_rank=args.local_rank			,   n_obs=args.n_obs			,   max_source_length=args.max_source_length			,   num_return_sequences=args.num_return_sequences			,   prefix=args.prefix			,   dataset_kwargs=A			,   **A			,   )

							if args.local_rank <= 0:
														lowerCAmelCase__	       =     Path(args.save_dir	)
														save_dir.mkdir(exist_ok=A	)
														lowerCAmelCase__	       =     gather_results_from_each_node(A			,   A			,   args.sync_timeout	)
														lowerCAmelCase__	       =     combine_partial_results(A	)
														if args.num_return_sequences > 1:
																					lowerCAmelCase__	       =     save_dir.joinpath('''pseudolabel_results.json'''	)
																					print(F"""Saving aggregated results at {save_path}, intermediate in {json_save_dir}/"""	)
																					save_json(A			,   A	)
																					return
														lowerCAmelCase__	       =     Path(args.data_dir	).joinpath(args.type_path + '''.target'''	)
														with open(A	) as f:
																					lowerCAmelCase__	       =     [x.rstrip() for x in f.readlines()][: len(A	)]

														# Calculate metrics, save metrics,  and save _generations.txt
														lowerCAmelCase__	       =     '''translation''' in args.task
														lowerCAmelCase__	       =     calculate_bleu if calc_bleu else calculate_rouge
														lowerCAmelCase__	       =     '''bleu''' if calc_bleu else '''rouge'''
														lowerCAmelCase__	       =     score_fn(A			,   A	)
														lowerCAmelCase__	       =     len(A	)
														lowerCAmelCase__	       =     time.time() - start_time
														lowerCAmelCase__	       =     round(runtime / metrics['''n_obs''']			,   4	)
														lowerCAmelCase__	       =     num_replicas
														# TODO(@stas00): add whatever metadata to metrics
														lowerCAmelCase__	       =     save_dir.joinpath(F"""{args.type_path}_{metric_name}.json"""	)
														save_json(A			,   A			,   indent=A	)
														print(A	)
														write_txt_file(A			,   save_dir.joinpath(F"""{args.type_path}_generations.txt"""	)	)
														if args.debug:
																					write_txt_file(A			,   save_dir.joinpath(F"""{args.type_path}.target"""	)	)
														else:
																					shutil.rmtree(A	)


def  _snake_case       (					A	)						->   List:
							lowerCAmelCase__	       =     []
							for partial_result in partial_results:
														records.extend(A	)
							lowerCAmelCase__	       =     sorted(A			,   key=lambda A	: x["id"]	)
							lowerCAmelCase__	       =     [x['''pred'''] for x in records]
							return preds


def  _snake_case       (					A			,   A			,   A	)						->   List[Dict[str, List]]:
							# WAIT FOR lots of .json files
							lowerCAmelCase__	       =     time.time()
							logger.info('''waiting for all nodes to finish'''	)
							lowerCAmelCase__	       =     None
							while (time.time() - start_wait) < timeout:
														lowerCAmelCase__	       =     list(save_dir.glob('''rank_*.json'''	)	)
														if len(A	) < num_replicas:
																					continue
														try:
																					# make sure all json files are fully saved
																					lowerCAmelCase__	       =     lmap(A			,   A	)
																					return json_data
														except JSONDecodeError:
																					continue
							else:
														raise TimeoutError('''Rank 0 gave up on waiting for other processes'''	)
							# Unreachable


if __name__ == "__main__":
		# Usage for MT:
		run_generate()



'''simple docstring'''






import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Dict     						=				""
							lowercase__      :       str     						=				(
							    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
							)
							lowercase__      :       str     						=				None  # compression type in fsspec. ex: "gzip"
							lowercase__      :       str     						=				None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz







							def __init__(		self ,   lowerCamelCase_ = "" ,   lowerCamelCase_ = None ,   lowerCamelCase_ = None ,   **lowerCamelCase_       )	->							Any:
														super().__init__(self ,   **lowerCamelCase_       )
														# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
														lowerCAmelCase__	       =     fsspec.open(
														    lowerCamelCase_ ,   mode='''rb''' ,   protocol=lowerCamelCase_ ,   compression=self.compression ,   client_kwargs={
														        '''requote_redirect_url''': False,  # see https://github.com/huggingface/datasets/pull/5459
														        '''trust_env''': True,  # Enable reading proxy env variables.
														        **(target_options or {}).pop('''client_kwargs''' ,   {}       ),  # To avoid issues if it was already passed.
														    } ,   **(target_options or {}) ,   )
														lowerCAmelCase__	       =     os.path.basename(self.file.path.split('''::'''       )[0]       )
														lowerCAmelCase__	       =     (
														    self.compressed_name[: self.compressed_name.rindex('''.'''       )]
														    if '''.''' in self.compressed_name
														    else self.compressed_name
														)
														lowerCAmelCase__	       =     None







							@classmethod
							def   __SCREAMING_SNAKE_CASE							(		cls ,   lowerCamelCase_       )	->							Any:
														# compressed file paths are always relative to the archive root
														return super()._strip_protocol(lowerCamelCase_       ).lstrip('''/'''       )







							def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[int]:
														if self.dir_cache is None:
																					lowerCAmelCase__	       =     {**self.file.fs.info(self.file.path       ), '''name''': self.uncompressed_name}
																					lowerCAmelCase__	       =     {f['''name''']: f}







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							List[Any]:
														return self.file.open().read()







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = "rb" ,   lowerCamelCase_=None ,   lowerCamelCase_=True ,   lowerCamelCase_=None ,   **lowerCamelCase_ ,   )	->							List[str]:
														lowerCAmelCase__	       =     self._strip_protocol(lowerCamelCase_       )
														if mode != "rb":
																					raise ValueError(F"""Tried to read with mode {mode} on file {self.file.path} opened with mode 'rb'"""       )
														return self.file.open()




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Optional[Any]     						=				"bz2"
							lowercase__      :       str     						=				"bz2"
							lowercase__      :       Optional[int]     						=				".bz2"




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Any     						=				"gzip"
							lowercase__      :       int     						=				"gzip"
							lowercase__      :       int     						=				".gz"




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Tuple     						=				"lz4"
							lowercase__      :       Optional[Any]     						=				"lz4"
							lowercase__      :       int     						=				".lz4"




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Optional[int]     						=				"xz"
							lowercase__      :       str     						=				"xz"
							lowercase__      :       List[Any]     						=				".xz"




class 		a__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Union[str, Any]     						=				"zstd"
							lowercase__      :       Union[str, Any]     						=				"zstd"
							lowercase__      :       Dict     						=				".zst"







							def __init__(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = "rb" ,   lowerCamelCase_ = None ,   lowerCamelCase_ = None ,   lowerCamelCase_ = DEFAULT_BLOCK_SIZE ,   **lowerCamelCase_ ,   )	->							List[Any]:
														super().__init__(
														    fo=lowerCamelCase_ ,   mode=lowerCamelCase_ ,   target_protocol=lowerCamelCase_ ,   target_options=lowerCamelCase_ ,   block_size=lowerCamelCase_ ,   **lowerCamelCase_ ,   )
														# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
														#
														# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
														#     out.close = close
														# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
														#
														# see https://github.com/intake/filesystem_spec/issues/725
														lowerCAmelCase__	       =     self.file.__enter__




														class 		a__    :





																					'''simple docstring'''






																					def __init__(		self ,   lowerCamelCase_       )	->							List[str]:
																												lowerCAmelCase__	       =     file_







																					def __enter__(		self       )	->							Tuple:
																												self._file.__enter__()
																												return self







																					def __exit__(		self ,   *lowerCamelCase_ ,   **lowerCamelCase_       )	->							str:
																												self._file.__exit__(*lowerCamelCase_ ,   **lowerCamelCase_       )







																					def __iter__(		self       )	->							Any:
																												return iter(self._file       )







																					def   __SCREAMING_SNAKE_CASE							(		self       )	->							Union[str, Any]:
																												return next(self._file       )







																					def __getattr__(		self ,   lowerCamelCase_       )	->							str:
																												return getattr(self._file ,   lowerCamelCase_       )

														def fixed_enter(*lowerCamelCase_ ,   **lowerCamelCase_       ):
																					return WrappedFile(_enter(*lowerCamelCase_ ,   **lowerCamelCase_       )       )

														lowerCAmelCase__	       =     fixed_enter