




'''simple docstring'''



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_    	=				getLogger(__name__)


UpperCamelCase_    	=				"cuda" if torch.cuda.is_available() else "cpu"




def   lowercase__(			__UpperCamelCase:					List[str]      ,__UpperCamelCase:					str      ,__UpperCamelCase:					str      ,__UpperCamelCase:					int = 8      ,__UpperCamelCase:					str = DEFAULT_DEVICE      ,__UpperCamelCase:					Optional[int]=False      ,__UpperCamelCase:					Tuple="summarization"      ,__UpperCamelCase:					Tuple=None      ,**__UpperCamelCase:					List[str]      ,):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[str]    					=						Path(__UpperCamelCase    ).open('w'      ,encoding='utf-8'    )
      SCREAMING_SNAKE_CASE   :      int    					=						str(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      int    					=						AutoModelForSeqaSeqLM.from_pretrained(__UpperCamelCase    ).to(__UpperCamelCase    )
      if fpaa:
            SCREAMING_SNAKE_CASE   :      Any    					=						model.half()

      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						AutoTokenizer.from_pretrained(__UpperCamelCase    )
      logger.info(f"Inferred tokenizer type: {tokenizer.__class__}"    )  # if this is wrong, check config.model_type.

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




def   lowercase__(			):

      """simple docstring"""






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




def   lowercase__(			__UpperCamelCase:					List[str]=True    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      int    					=						argparse.ArgumentParser()
      parser.add_argument('model_name'      ,type=__UpperCamelCase      ,help='like facebook/bart-large-cnn,t5-base, etc.'    )
      parser.add_argument('input_path'      ,type=__UpperCamelCase      ,help='like cnn_dm/test.source'    )
      parser.add_argument('save_path'      ,type=__UpperCamelCase      ,help='where to save summaries'    )
      parser.add_argument('--reference_path'      ,type=__UpperCamelCase      ,required=__UpperCamelCase      ,help='like cnn_dm/test.target'    )
      parser.add_argument('--score_path'      ,type=__UpperCamelCase      ,required=__UpperCamelCase      ,default='metrics.json'      ,help='where to save metrics'    )
      parser.add_argument('--device'      ,type=__UpperCamelCase      ,required=__UpperCamelCase      ,default=__UpperCamelCase      ,help='cuda, cuda:1, cpu etc.'    )
      parser.add_argument(
          '--prefix'      ,type=__UpperCamelCase      ,required=__UpperCamelCase      ,default=__UpperCamelCase      ,help='will be added to the begininng of src examples'    )
      parser.add_argument('--task'      ,type=__UpperCamelCase      ,default='summarization'      ,help='used for task_specific_params + metrics'    )
      parser.add_argument('--bs'      ,type=__UpperCamelCase      ,default=8      ,required=__UpperCamelCase      ,help='batch size'    )
      parser.add_argument(
          '--n_obs'      ,type=__UpperCamelCase      ,default=-1      ,required=__UpperCamelCase      ,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=__UpperCamelCase      ,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   :      int    					=						parser.parse_known_args()
      SCREAMING_SNAKE_CASE   :      int    					=						parse_numeric_n_bool_cl_kwargs(__UpperCamelCase    )
      if parsed_args and verbose:
            print(f"parsed the following generate kwargs: {parsed_args}"    )
      SCREAMING_SNAKE_CASE   :      Optional[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   :      str    					=						examples[: args.n_obs]
      Path(args.save_path    ).parent.mkdir(exist_ok=__UpperCamelCase    )

      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   :      int    					=						generate_summaries_or_translations(
          __UpperCamelCase      ,args.save_path      ,args.model_name      ,batch_size=args.bs      ,device=args.device      ,fpaa=args.fpaa      ,task=args.task      ,prefix=args.prefix      ,**__UpperCamelCase      ,)

      if args.reference_path is None:
            return {}

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

      if args.dump_args:
            scores.update(__UpperCamelCase    )
      if args.info:
            SCREAMING_SNAKE_CASE   :      Optional[int]    					=						args.info

      if verbose:
            print(__UpperCamelCase    )

      if args.score_path is not None:
            json.dump(__UpperCamelCase      ,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)








'''simple docstring'''



from typing import Any






class 							_a				:





       '''simple docstring'''






       def __init__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      str    					=						data
             SCREAMING_SNAKE_CASE   :      Any    					=						None







       def __repr__(      self  ):







             '''simple docstring'''







             return F"Node({self.data})"






class 							_a				:





       '''simple docstring'''






       def __init__(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      List[str]    					=						None







       def __iter__(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						self.head
             while node:
                   yield node.data
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						node.next







       def __len__(      self  ):







             '''simple docstring'''







             return sum(1 for _ in self  )







       def __repr__(      self  ):







             '''simple docstring'''







             return "->".join([str(A  ) for item in self]  )







       def __getitem__(      self,							A  ):







             '''simple docstring'''







             if not 0 <= index < len(self  ):
                   raise ValueError('list index out of range.'  )
             for i, node in enumerate(self  ):
                   if i == index:
                         return node
             return None







       def __setitem__(      self,							A,							A  ):







             '''simple docstring'''







             if not 0 <= index < len(self  ):
                   raise ValueError('list index out of range.'  )
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						self.head
             for _ in range(A  ):
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						current.next
             SCREAMING_SNAKE_CASE   :      Any    					=						data







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             self.insert_nth(len(self  ),							A  )







       def        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







             self.insert_nth(0,							A  )







       def        UpperCamelCase_							(      self,							A,							A  ):







             '''simple docstring'''







             if not 0 <= index <= len(self  ):
                   raise IndexError('list index out of range'  )
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						Node(A  )
             if self.head is None:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						new_node
             elif index == 0:
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						self.head  # link new_node to head
                   SCREAMING_SNAKE_CASE   :      Tuple    					=						new_node
             else:
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						self.head
                   for _ in range(index - 1  ):
                         SCREAMING_SNAKE_CASE   :      str    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						new_node







       def        UpperCamelCase_							(      self  ):  # print every node data







             '''simple docstring'''







             print(self  )







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             return self.delete_nth(0  )







       def        UpperCamelCase_							(      self  ):  # delete from tail







             '''simple docstring'''







             return self.delete_nth(len(self  ) - 1  )







       def        UpperCamelCase_							(      self,							A = 0  ):







             '''simple docstring'''







             if not 0 <= index <= len(self  ) - 1:  # test if index is valid
                   raise IndexError('List index out of range.'  )
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						self.head  # default first node
             if index == 0:
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						self.head.next
             else:
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						self.head
                   for _ in range(index - 1  ):
                         SCREAMING_SNAKE_CASE   :      Any    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      List[str]    					=						temp.next
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						temp.next.next
             return delete_node.data







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             return self.head is None







       def        UpperCamelCase_							(      self  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      int    					=						None
             SCREAMING_SNAKE_CASE   :      Any    					=						self.head

             while current:
                   # Store the current node's next node.
                   SCREAMING_SNAKE_CASE   :      Optional[int]    					=						current.next
                   # Make the current node's next point backwards
                   SCREAMING_SNAKE_CASE   :      int    					=						prev
                   # Make the previous node be the current node
                   SCREAMING_SNAKE_CASE   :      int    					=						current
                   # Make the current node the next node (to progress iteration)
                   SCREAMING_SNAKE_CASE   :      List[Any]    					=						next_node
             # Return prev in order to put the head at the end
             SCREAMING_SNAKE_CASE   :      List[Any]    					=						prev




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Dict    					=						LinkedList()
      assert linked_list.is_empty() is True
      assert str(__UpperCamelCase    ) == ""

      try:
            linked_list.delete_head()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      try:
            linked_list.delete_tail()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      for i in range(10    ):
            assert len(__UpperCamelCase    ) == i
            linked_list.insert_nth(__UpperCamelCase      ,i + 1    )
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) for i in range(1      ,11    )    )

      linked_list.insert_head(0    )
      linked_list.insert_tail(11    )
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) for i in range(0      ,12    )    )

      assert linked_list.delete_head() == 0
      assert linked_list.delete_nth(9    ) == 10
      assert linked_list.delete_tail() == 11
      assert len(__UpperCamelCase    ) == 9
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) for i in range(1      ,10    )    )

      assert all(linked_list[i] == i + 1 for i in range(0      ,9    )    ) is True

      for i in range(0      ,9    ):
            SCREAMING_SNAKE_CASE   :      Any    					=						-i
      assert all(linked_list[i] == -i for i in range(0      ,9    )    ) is True

      linked_list.reverse()
      assert str(__UpperCamelCase    ) == "->".join(str(__UpperCamelCase    ) for i in range(-8      ,1    )    )




def   lowercase__(			):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[str]    					=						[
          -9,
          1_00,
          Node(77_34_51_12    ),
          'dlrow olleH',
          7,
          55_55,
          0,
          -1_9_2.5_5_5_5_5,
          'Hello, world!',
          7_7.9,
          Node(10    ),
          None,
          None,
          1_2.2_0,
      ]
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						LinkedList()

      for i in test_input:
            linked_list.insert_tail(__UpperCamelCase    )

      # Check if it's empty or not
      assert linked_list.is_empty() is False
      assert (
          str(__UpperCamelCase    ) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
          "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
      )

      # Delete the head
      SCREAMING_SNAKE_CASE   :      str    					=						linked_list.delete_head()
      assert result == -9
      assert (
          str(__UpperCamelCase    ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None->None->12.2"
      )

      # Delete the tail
      SCREAMING_SNAKE_CASE   :      Dict    					=						linked_list.delete_tail()
      assert result == 1_2.2
      assert (
          str(__UpperCamelCase    ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None->None"
      )

      # Delete a node in specific location in linked list
      SCREAMING_SNAKE_CASE   :      str    					=						linked_list.delete_nth(10    )
      assert result is None
      assert (
          str(__UpperCamelCase    ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None"
      )

      # Add a Node instance to its head
      linked_list.insert_head(Node('Hello again, world!'    )    )
      assert (
          str(__UpperCamelCase    )
          == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
          "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
      )

      # Add None to its tail
      linked_list.insert_tail(__UpperCamelCase    )
      assert (
          str(__UpperCamelCase    )
          == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
          "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
      )

      # Reverse the linked list
      linked_list.reverse()
      assert (
          str(__UpperCamelCase    )
          == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
          "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
      )




def   lowercase__(			):

      """simple docstring"""






      from doctest import testmod

      testmod()

      SCREAMING_SNAKE_CASE   :      Dict    					=						LinkedList()
      linked_list.insert_head(input('Inserting 1st at head '    ).strip()    )
      linked_list.insert_head(input('Inserting 2nd at head '    ).strip()    )
      print('\nPrint list:'    )
      linked_list.print_list()
      linked_list.insert_tail(input('\nInserting 1st at tail '    ).strip()    )
      linked_list.insert_tail(input('Inserting 2nd at tail '    ).strip()    )
      print('\nPrint list:'    )
      linked_list.print_list()
      print('\nDelete head'    )
      linked_list.delete_head()
      print('Delete tail'    )
      linked_list.delete_tail()
      print('\nPrint list:'    )
      linked_list.print_list()
      print('\nReverse linked list'    )
      linked_list.reverse()
      print('\nPrint list:'    )
      linked_list.print_list()
      print('\nString representation of linked list:'    )
      print(__UpperCamelCase    )
      print('\nReading/changing Node data using indexing:'    )
      print(f"Element at Position 1: {linked_list[1]}"    )
      SCREAMING_SNAKE_CASE   :      str    					=						input('Enter New Value: '    ).strip()
      print('New list:'    )
      print(__UpperCamelCase    )
      print(f"length of linked_list is : {len(__UpperCamelCase    )}"    )


if __name__ == "__main__":
      main()


