




import logging
import os
import threading
import time


try:
						import warnings
except ImportError:
						UpperCamelCase__ :   int						=							None

try:
						import msvcrt
except ImportError:
						UpperCamelCase__ :   List[Any]						=							None

try:
						import fcntl
except ImportError:
						UpperCamelCase__ :   Tuple						=							None


# Backward compatibility
# ------------------------------------------------
try:
						TimeoutError
except NameError:
						UpperCamelCase__ :   List[Any]						=							OSError


# Data
# ------------------------------------------------
UpperCamelCase__ :   int						=							[
    '''Timeout''',
    '''BaseFileLock''',
    '''WindowsFileLock''',
    '''UnixFileLock''',
    '''SoftFileLock''',
    '''FileLock''',
]

UpperCamelCase__ :   List[str]						=							'''3.0.12'''


UpperCamelCase__ :   str						=							None





def        __UpperCAmelCase						(							)       ->  Optional[Any]:







			"""simple docstring"""





			global _logger
			SCREAMING_SNAKE_CASE_   : Tuple					  =      _logger or logging.getLogger(__name__  )
			return _logger







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      lock_file
							return None






				def __str__(			self ):
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      F'The file lock \'{self.lock_file}\' could not be acquired.'
							return temp







class 				lowerCAmelCase_       :






				def __init__(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Tuple					  =      lock
							return None






				def __enter__(			self ):
							return self.lock






				def __exit__(			self      ,snake_case__      ,snake_case__      ,snake_case__ ):
							self.lock.release()
							return None







class 				lowerCAmelCase_       :






				def __init__(			self      ,snake_case__      ,snake_case__=-1      ,snake_case__=None ):
							SCREAMING_SNAKE_CASE_   : int					  =      max_filename_length if max_filename_length is not None else 255
							# Hash the filename if it's too long
							SCREAMING_SNAKE_CASE_   : int					  =      self.hash_filename_if_too_long(snake_case__      ,snake_case__ )
							# The path to the lock file.
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      lock_file

							# The file descriptor for the *_lock_file* as it is returned by the
							# os.open() function.
							# This file lock is only NOT None, if the object currently holds the
							# lock.
							SCREAMING_SNAKE_CASE_   : Dict					  =      None

							# The default timeout value.
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      timeout

							# We use this lock primarily for the lock counter.
							SCREAMING_SNAKE_CASE_   : int					  =      threading.Lock()

							# The lock counter is used for implementing the nested locking
							# mechanism. Whenever the lock is acquired, the counter is increased and
							# the lock is only released, when this value is 0 again.
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      0
							return None






				@property
				def 		snake_case	(			self ):
							return self._lock_file






				@property
				def 		snake_case	(			self ):
							return self._timeout






				@timeout.setter
				def 		snake_case	(			self      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Any					  =      float(snake_case__ )
							return None






				def 		snake_case	(			self ):
							raise NotImplementedError()






				def 		snake_case	(			self ):
							raise NotImplementedError()






				@property
				def 		snake_case	(			self ):
							return self._lock_file_fd is not None






				def 		snake_case	(			self      ,snake_case__=None      ,snake_case__=0.05 ):
							# Use the default timeout, if no timeout is provided.
							if timeout is None:
										SCREAMING_SNAKE_CASE_   : Optional[int]					  =      self.timeout

							# Increment the number right at the beginning.
							# We can still undo it, if something fails.
							with self._thread_lock:
										self._lock_counter += 1

							SCREAMING_SNAKE_CASE_   : Tuple					  =      id(self )
							SCREAMING_SNAKE_CASE_   : Any					  =      self._lock_file
							SCREAMING_SNAKE_CASE_   : int					  =      time.time()
							try:
										while True:
													with self._thread_lock:
																if not self.is_locked:
																			logger().debug(F'Attempting to acquire lock {lock_id} on {lock_filename}' )
																			self._acquire()

													if self.is_locked:
																logger().debug(F'Lock {lock_id} acquired on {lock_filename}' )
																break
													elif timeout >= 0 and time.time() - start_time > timeout:
																logger().debug(F'Timeout on acquiring lock {lock_id} on {lock_filename}' )
																raise Timeout(self._lock_file )
													else:
																logger().debug(
																    F'Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ...' )
																time.sleep(snake_case__ )
							except:  # noqa
										# Something did go wrong, so decrement the counter.
										with self._thread_lock:
													SCREAMING_SNAKE_CASE_   : Any					  =      max(0      ,self._lock_counter - 1 )

										raise
							return _Acquire_ReturnProxy(lock=self )






				def 		snake_case	(			self      ,snake_case__=False ):
							with self._thread_lock:
										if self.is_locked:
													self._lock_counter -= 1

													if self._lock_counter == 0 or force:
																SCREAMING_SNAKE_CASE_   : int					  =      id(self )
																SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      self._lock_file

																logger().debug(F'Attempting to release lock {lock_id} on {lock_filename}' )
																self._release()
																SCREAMING_SNAKE_CASE_   : str					  =      0
																logger().debug(F'Lock {lock_id} released on {lock_filename}' )

							return None






				def __enter__(			self ):
							self.acquire()
							return self






				def __exit__(			self      ,snake_case__      ,snake_case__      ,snake_case__ ):
							self.release()
							return None






				def __del__(			self ):
							self.release(force=snake_case__ )
							return None






				def 		snake_case	(			self      ,snake_case__      ,snake_case__ ):
							SCREAMING_SNAKE_CASE_   : Dict					  =      os.path.basename(snake_case__ )
							if len(snake_case__ ) > max_length and max_length > 0:
										SCREAMING_SNAKE_CASE_   : str					  =      os.path.dirname(snake_case__ )
										SCREAMING_SNAKE_CASE_   : List[Any]					  =      str(hash(snake_case__ ) )
										SCREAMING_SNAKE_CASE_   : Optional[int]					  =      filename[: max_length - len(snake_case__ ) - 8] + '...' + hashed_filename + '.lock'
										return os.path.join(snake_case__      ,snake_case__ )
							else:
										return path







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,snake_case__      ,snake_case__=-1      ,snake_case__=None ):
							from .file_utils import relative_to_absolute_path

							super().__init__(snake_case__      ,timeout=snake_case__      ,max_filename_length=snake_case__ )
							SCREAMING_SNAKE_CASE_   : Tuple					  =      '\\\\?\\' + relative_to_absolute_path(self.lock_file )






				def 		snake_case	(			self ):
							SCREAMING_SNAKE_CASE_   : List[str]					  =      os.O_RDWR | os.O_CREAT | os.O_TRUNC

							try:
										SCREAMING_SNAKE_CASE_   : List[Any]					  =      os.open(self._lock_file      ,snake_case__ )
							except OSError:
										pass
							else:
										try:
													msvcrt.locking(snake_case__      ,msvcrt.LK_NBLCK      ,1 )
										except OSError:
													os.close(snake_case__ )
										else:
													SCREAMING_SNAKE_CASE_   : int					  =      fd
							return None






				def 		snake_case	(			self ):
							SCREAMING_SNAKE_CASE_   : Any					  =      self._lock_file_fd
							SCREAMING_SNAKE_CASE_   : str					  =      None
							msvcrt.locking(snake_case__      ,msvcrt.LK_UNLCK      ,1 )
							os.close(snake_case__ )

							try:
										os.remove(self._lock_file )
							# Probably another instance of the application
							# that acquired the file lock.
							except OSError:
										pass
							return None







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,snake_case__      ,snake_case__=-1      ,snake_case__=None ):
							SCREAMING_SNAKE_CASE_   : str					  =      os.statvfs(os.path.dirname(snake_case__ ) ).f_namemax
							super().__init__(snake_case__      ,timeout=snake_case__      ,max_filename_length=snake_case__ )






				def 		snake_case	(			self ):
							SCREAMING_SNAKE_CASE_   : int					  =      os.O_RDWR | os.O_CREAT | os.O_TRUNC
							SCREAMING_SNAKE_CASE_   : Any					  =      os.open(self._lock_file      ,snake_case__ )

							try:
										fcntl.flock(snake_case__      ,fcntl.LOCK_EX | fcntl.LOCK_NB )
							except OSError:
										os.close(snake_case__ )
							else:
										SCREAMING_SNAKE_CASE_   : Any					  =      fd
							return None






				def 		snake_case	(			self ):
							# Do not remove the lockfile:
							#
							#   https://github.com/benediktschmitt/py-filelock/issues/31
							#   https://stackoverflow.com/questions/17708885/flock-removing-locked-file-without-race-condition
							SCREAMING_SNAKE_CASE_   : int					  =      self._lock_file_fd
							SCREAMING_SNAKE_CASE_   : Any					  =      None
							fcntl.flock(snake_case__      ,fcntl.LOCK_UN )
							os.close(snake_case__ )
							return None







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def 		snake_case	(			self ):
							SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
							try:
										SCREAMING_SNAKE_CASE_   : Dict					  =      os.open(self._lock_file      ,snake_case__ )
							except OSError:
										pass
							else:
										SCREAMING_SNAKE_CASE_   : int					  =      fd
							return None






				def 		snake_case	(			self ):
							os.close(self._lock_file_fd )
							SCREAMING_SNAKE_CASE_   : List[str]					  =      None

							try:
										os.remove(self._lock_file )
							# The file is already deleted and that's what we want.
							except OSError:
										pass
							return None



UpperCamelCase__ :   int						=							None

if msvcrt:
						UpperCamelCase__ :   Any						=							WindowsFileLock
elif fcntl:
						UpperCamelCase__ :   Any						=							UnixFileLock
else:
						UpperCamelCase__ :   List[str]						=							SoftFileLock

						if warnings is not None:
												warnings.warn('''only soft file lock is available''')









import argparse
import datetime
import json
import time
import warnings
from logging import getLogger
from pathlib import Path
from typing import Dict, List

import torch
from tqdm import tqdm

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from utils import calculate_bleu, calculate_rouge, chunks, parse_numeric_n_bool_cl_kwargs, use_task_specific_params


UpperCamelCase__ :   Tuple						=							getLogger(__name__)


UpperCamelCase__ :   Dict						=							'''cuda''' if torch.cuda.is_available() else '''cpu'''





def        __UpperCAmelCase						(							lowerCamelCase_ :     List[str]  ,							lowerCamelCase_ :     str  ,							lowerCamelCase_ :     str  ,							lowerCamelCase_ :     int = 8  ,							lowerCamelCase_ :     str = DEFAULT_DEVICE  ,							lowerCamelCase_ :     Union[str, Any]=False  ,							lowerCamelCase_ :     Any="summarization"  ,							lowerCamelCase_ :     Tuple=None  ,							**lowerCamelCase_ :     str  ,							)       ->  Dict:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : Any					  =      Path(lowerCamelCase_  ).open('w'  ,							encoding='utf-8'  )
			SCREAMING_SNAKE_CASE_   : Dict					  =      str(lowerCamelCase_  )
			SCREAMING_SNAKE_CASE_   : Optional[int]					  =      AutoModelForSeqaSeqLM.from_pretrained(lowerCamelCase_  ).to(lowerCamelCase_  )
			if fpaa:
						SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      model.half()

			SCREAMING_SNAKE_CASE_   : str					  =      AutoTokenizer.from_pretrained(lowerCamelCase_  )
			logger.info(F'Inferred tokenizer type: {tokenizer.__class__}'  )  # if this is wrong, check config.model_type.

			SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      time.time()
			# update config with task specific params
			use_task_specific_params(lowerCamelCase_  ,							lowerCamelCase_  )
			if prefix is None:
						SCREAMING_SNAKE_CASE_   : List[str]					  =      prefix or getattr(model.config  ,							'prefix'  ,							''  ) or ''
			for examples_chunk in tqdm(list(chunks(lowerCamelCase_  ,							lowerCamelCase_  )  )  ):
						SCREAMING_SNAKE_CASE_   : int					  =      [prefix + text for text in examples_chunk]
						SCREAMING_SNAKE_CASE_   : str					  =      tokenizer(lowerCamelCase_  ,							return_tensors='pt'  ,							truncation=lowerCamelCase_  ,							padding='longest'  ).to(lowerCamelCase_  )
						SCREAMING_SNAKE_CASE_   : Optional[int]					  =      model.generate(
						    input_ids=batch.input_ids  ,							attention_mask=batch.attention_mask  ,							**lowerCamelCase_  ,							)
						SCREAMING_SNAKE_CASE_   : List[Any]					  =      tokenizer.batch_decode(lowerCamelCase_  ,							skip_special_tokens=lowerCamelCase_  ,							clean_up_tokenization_spaces=lowerCamelCase_  )
						for hypothesis in dec:
									fout.write(hypothesis + '\n'  )
									fout.flush()
			fout.close()
			SCREAMING_SNAKE_CASE_   : int					  =      int(time.time() - start_time  )  # seconds
			SCREAMING_SNAKE_CASE_   : Dict					  =      len(lowerCamelCase_  )
			return {"n_obs": n_obs, "runtime": runtime, "seconds_per_sample": round(runtime / n_obs  ,							4  )}





def        __UpperCAmelCase						(							)       ->  int:







			"""simple docstring"""





			return datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'  )





def        __UpperCAmelCase						(							lowerCamelCase_ :     Dict=True  )       ->  List[Any]:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : int					  =      argparse.ArgumentParser()
			parser.add_argument('model_name'  ,							type=lowerCamelCase_  ,							help='like facebook/bart-large-cnn,t5-base, etc.'  )
			parser.add_argument('input_path'  ,							type=lowerCamelCase_  ,							help='like cnn_dm/test.source'  )
			parser.add_argument('save_path'  ,							type=lowerCamelCase_  ,							help='where to save summaries'  )
			parser.add_argument('--reference_path'  ,							type=lowerCamelCase_  ,							required=lowerCamelCase_  ,							help='like cnn_dm/test.target'  )
			parser.add_argument('--score_path'  ,							type=lowerCamelCase_  ,							required=lowerCamelCase_  ,							default='metrics.json'  ,							help='where to save metrics'  )
			parser.add_argument('--device'  ,							type=lowerCamelCase_  ,							required=lowerCamelCase_  ,							default=lowerCamelCase_  ,							help='cuda, cuda:1, cpu etc.'  )
			parser.add_argument(
			    '--prefix'  ,							type=lowerCamelCase_  ,							required=lowerCamelCase_  ,							default=lowerCamelCase_  ,							help='will be added to the begininng of src examples'  )
			parser.add_argument('--task'  ,							type=lowerCamelCase_  ,							default='summarization'  ,							help='used for task_specific_params + metrics'  )
			parser.add_argument('--bs'  ,							type=lowerCamelCase_  ,							default=8  ,							required=lowerCamelCase_  ,							help='batch size'  )
			parser.add_argument(
			    '--n_obs'  ,							type=lowerCamelCase_  ,							default=-1  ,							required=lowerCamelCase_  ,							help='How many observations. Defaults to all.'  )
			parser.add_argument('--fp16'  ,							action='store_true'  )
			parser.add_argument('--dump-args'  ,							action='store_true'  ,							help='print the custom hparams with the results'  )
			parser.add_argument(
			    '--info'  ,							nargs='?'  ,							type=lowerCamelCase_  ,							const=datetime_now()  ,							help=(
			        'use in conjunction w/ --dump-args to print with the results whatever other info you\'d like, e.g.'
			        ' lang=en-ru. If no value is passed, the current datetime string will be used.'
			    )  ,							)
			# Unspecified args like --num_beams=2 --decoder_start_token_id=4 are passed to model.generate
			SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      parser.parse_known_args()
			SCREAMING_SNAKE_CASE_   : str					  =      parse_numeric_n_bool_cl_kwargs(lowerCamelCase_  )
			if parsed_args and verbose:
						print(F'parsed the following generate kwargs: {parsed_args}'  )
			SCREAMING_SNAKE_CASE_   : int					  =      [' ' + x.rstrip() if 't5' in args.model_name else x.rstrip() for x in open(args.input_path  ).readlines()]
			if args.n_obs > 0:
						SCREAMING_SNAKE_CASE_   : Tuple					  =      examples[: args.n_obs]
			Path(args.save_path  ).parent.mkdir(exist_ok=lowerCamelCase_  )

			if args.reference_path is None and Path(args.score_path  ).exists():
						warnings.warn(F'score_path {args.score_path} will be overwritten unless you type ctrl-c.'  )

			if args.device == "cpu" and args.fpaa:
						# this mix leads to RuntimeError: "threshold_cpu" not implemented for 'Half'
						raise ValueError('Can\'t mix --fp16 and --device cpu'  )

			SCREAMING_SNAKE_CASE_   : List[str]					  =      generate_summaries_or_translations(
			    lowerCamelCase_  ,							args.save_path  ,							args.model_name  ,							batch_size=args.bs  ,							device=args.device  ,							fpaa=args.fpaa  ,							task=args.task  ,							prefix=args.prefix  ,							**lowerCamelCase_  ,							)

			if args.reference_path is None:
						return {}

			# Compute scores
			SCREAMING_SNAKE_CASE_   : str					  =      calculate_bleu if 'translation' in args.task else calculate_rouge
			SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      [x.rstrip() for x in open(args.save_path  ).readlines()]
			SCREAMING_SNAKE_CASE_   : int					  =      [x.rstrip() for x in open(args.reference_path  ).readlines()][: len(lowerCamelCase_  )]
			SCREAMING_SNAKE_CASE_   : dict					  =      score_fn(lowerCamelCase_  ,							lowerCamelCase_  )
			scores.update(lowerCamelCase_  )

			if args.dump_args:
						scores.update(lowerCamelCase_  )
			if args.info:
						SCREAMING_SNAKE_CASE_   : List[Any]					  =      args.info

			if verbose:
						print(lowerCamelCase_  )

			if args.score_path is not None:
						json.dump(lowerCamelCase_  ,							open(args.score_path  ,							'w'  )  )

			return scores


if __name__ == "__main__":
						# Usage for MT:
						# python run_eval.py MODEL_NAME $DATA_DIR/test.source $save_dir/test_translations.txt --reference_path $DATA_DIR/test.target --score_path $save_dir/test_bleu.json  --task translation $@
						run_generate(verbose=True)



