code: 
  
  
  from __future__ import annotations
  
  import random
  from collections.abc import Iterable
  
  class 						A__      :
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case					):
           snake_case					=       {literal: None for literal in literals}
      def __str__( self					):
           return "{" + " , ".join(self.literals					) + "}"
      def __len__( self					):
           return len(self.literals					)
      def 	a_    ( self    ,      __snake_case					):
           for literal in self.literals:
                snake_case					=       literal[:2]
                if symbol in model:
                     snake_case					=       model[symbol]
                else:
                     continue
                if value is not None:
                     # Complement assignment if literal is in complemented form
                     if literal.endswith('''\''''					):
                          snake_case					=       not value
                snake_case					=       value
  
  
  
  
      def 	a_    ( self    ,      __snake_case					):
           for literal in self.literals:
                snake_case					=       literal.rstrip('''\''''					) if literal.endswith('''\''''					) else literal + '''\''''
                if symbol in self.literals:
                     return True
  
           self.assign(__snake_case					)
           for value in self.literals.values():
                if value in (True, None):
                     return value
           return any(self.literals.values()					)
  
  
  
  
  
  
  class 						A__      :
  
  
  
  
  
  
  
      """simple docstring"""
  
      def __init__( self    ,      __snake_case					):
           snake_case					=       list(__snake_case					)
  
  
  
  
      def __str__( self					):
           return "{" + " , ".join(str(__snake_case					) for clause in self.clauses					) + "}"
  
  
  
  
  
  
  def     UpperCAmelCase__		():
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       []
       snake_case					=       random.randint(1							,5       )
       snake_case					=       '''A'''
       snake_case					=       0
       while i < no_of_literals:
            snake_case					=       random.randint(1							,5       )
            snake_case					=       base_var + str(UpperCamelCase_       )
            snake_case					=       random.randint(0							,1       )
            if var_complement == 1:
                 var_name += "'"
            if var_name in literals:
                 i -= 1
            else:
                 literals.append(UpperCamelCase_       )
            i += 1
       return Clause(UpperCamelCase_       )
  def     UpperCAmelCase__		():
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       set()
       snake_case					=       random.randint(1							,10       )
       while len(UpperCamelCase_       ) < no_of_clauses:
            clauses.add(generate_clause()       )
       return Formula(UpperCamelCase_       )
  def     UpperCAmelCase__		(UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       formula.clauses
       snake_case					=       []
       for clause in formula.clauses:
            for literal in clause.literals:
                 snake_case					=       literal[:2]
                 if symbol not in symbols_set:
                      symbols_set.append(UpperCamelCase_       )
       return clauses, symbols_set
  def     UpperCAmelCase__		(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       []
       snake_case					=       {}
       snake_case					=       []
  
       for clause in clauses:
            if clause.evaluate(UpperCamelCase_       ):
                 continue
            for literal in clause.literals:
                 literals.append(UpperCamelCase_       )
  
       for s in symbols:
            snake_case					=       s + '''\''''
            if (s in literals and sym not in literals) or (
                s not in literals and sym in literals
            ):
                 pure_symbols.append(UpperCamelCase_       )
       for p in pure_symbols:
            snake_case					=       None
       for s in pure_symbols:
            snake_case					=       s + '''\''''
            if s in literals:
                 snake_case					=       True
            elif sym in literals:
                 snake_case					=       False
       return pure_symbols, assignment
  def     UpperCAmelCase__		(UpperCamelCase_							,UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       []
       for clause in clauses:
            if len(UpperCamelCase_       ) == 1:
                 unit_symbols.append(list(clause.literals.keys()       )[0]       )
            else:
                 snake_case				,						snake_case					=       0, 0
                 for literal, value in clause.literals.items():
                      if value is False:
                           f_count += 1
                      elif value is None:
                           snake_case					=       literal
                           n_count += 1
                 if f_count == len(UpperCamelCase_       ) - 1 and n_count == 1:
                      unit_symbols.append(UpperCamelCase_       )
       snake_case					=       {}
       for i in unit_symbols:
            snake_case					=       i[:2]
            snake_case					=       len(UpperCamelCase_       ) == 2
       snake_case					=       [i[:2] for i in unit_symbols]
  
       return unit_symbols, assignment
  def     UpperCAmelCase__		(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       True
       for clause in clauses:
            snake_case					=       clause.evaluate(UpperCamelCase_       )
            if clause_check is False:
                 return False, None
            elif clause_check is None:
                 snake_case					=       False
                 continue
  
       if check_clause_all_true:
            return True, model
  
       try:
            snake_case				,						snake_case					=       find_pure_symbols(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       )
       except RecursionError:
            print('''raises a RecursionError and is'''       )
            return None, {}
       snake_case					=       None
       if len(UpperCamelCase_       ) > 0:
            snake_case				,						snake_case					=       pure_symbols[0], assignment[pure_symbols[0]]
  
       if p:
            snake_case					=       model
            snake_case					=       value
            snake_case					=       list(UpperCamelCase_       )
            if p in tmp_symbols:
                 tmp_symbols.remove(UpperCamelCase_       )
            return dpll_algorithm(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       )
  
       snake_case				,						snake_case					=       find_unit_clauses(UpperCamelCase_							,UpperCamelCase_       )
       snake_case					=       None
       if len(UpperCamelCase_       ) > 0:
            snake_case				,						snake_case					=       unit_symbols[0], assignment[unit_symbols[0]]
       if p:
            snake_case					=       model
            snake_case					=       value
            snake_case					=       list(UpperCamelCase_       )
            if p in tmp_symbols:
                 tmp_symbols.remove(UpperCamelCase_       )
            return dpll_algorithm(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       )
       snake_case					=       symbols[0]
       snake_case					=       symbols[1:]
       snake_case				,						snake_case					=       model, model
       snake_case				,						snake_case					=       True, False
  
       return dpll_algorithm(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       ) or dpll_algorithm(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_       )
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()
  
   _SCREAMING_SNAKE_CASE    :				Dict       =					generate_formula()
   print(f'''The formula {formula} is''', end=" ")
  
   _SCREAMING_SNAKE_CASE   ,     _SCREAMING_SNAKE_CASE    :				Any       =					generate_parameters(formula)
   _SCREAMING_SNAKE_CASE   ,     _SCREAMING_SNAKE_CASE    :				Optional[Any]       =					dpll_algorithm(clauses, symbols, {})
  
   if solution:
    print(f'''satisfiable with the assignment {model}.''')
   else:
    print("not satisfiable.")
  
  
  
  
  
style_context: 
  
  
  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
  
  
  _SCREAMING_SNAKE_CASE    :				str       =					getLogger(__name__)
  
  
  _SCREAMING_SNAKE_CASE    :				int       =					"cuda" if torch.cuda.is_available() else "cpu"
  def     UpperCAmelCase__		(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_ = 8							,UpperCamelCase_ = DEFAULT_DEVICE							,UpperCamelCase_=False							,UpperCamelCase_="summarization"							,UpperCamelCase_=None							,**UpperCamelCase_							,):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       Path(UpperCamelCase_       ).open('''w'''							,encoding='''utf-8'''       )
       snake_case					=       str(UpperCamelCase_       )
       snake_case					=       AutoModelForSeqaSeqLM.from_pretrained(UpperCamelCase_       ).to(UpperCamelCase_       )
       if fpaa:
            snake_case					=       model.half()
  
       snake_case					=       AutoTokenizer.from_pretrained(UpperCamelCase_       )
       logger.info(F'''Inferred tokenizer type: {tokenizer.__class__}'''       )  # if this is wrong, check config.model_type.
  
       snake_case					=       time.time()
       # update config with task specific params
       use_task_specific_params(UpperCamelCase_							,UpperCamelCase_       )
       if prefix is None:
            snake_case					=       prefix or getattr(model.config							,'''prefix'''							,''''''       ) or ''''''
       for examples_chunk in tqdm(list(chunks(UpperCamelCase_							,UpperCamelCase_       )       )       ):
            snake_case					=       [prefix + text for text in examples_chunk]
            snake_case					=       tokenizer(UpperCamelCase_							,return_tensors='''pt'''							,truncation=UpperCamelCase_							,padding='''longest'''       ).to(UpperCamelCase_       )
            snake_case					=       model.generate(
                input_ids=batch.input_ids							,attention_mask=batch.attention_mask							,**UpperCamelCase_							,)
            snake_case					=       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()
       snake_case					=       int(time.time() - start_time       )  # seconds
       snake_case					=       len(UpperCamelCase_       )
       return {"n_obs": n_obs, "runtime": runtime, "seconds_per_sample": round(runtime / n_obs							,4       )}
  def     UpperCAmelCase__		():
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       return datetime.datetime.now().strftime('''%Y-%m-%d %H:%M:%S'''       )
  def     UpperCAmelCase__		(UpperCamelCase_=True       ):
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       snake_case					=       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
       snake_case				,						snake_case					=       parser.parse_known_args()
       snake_case					=       parse_numeric_n_bool_cl_kwargs(UpperCamelCase_       )
       if parsed_args and verbose:
            print(F'''parsed the following generate kwargs: {parsed_args}'''       )
       with open(args.input_path       ) as f:
            snake_case					=       [''' ''' + x.rstrip() if '''t5''' in args.model_name else x.rstrip() for x in f.readlines()]
       if args.n_obs > 0:
            snake_case					=       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.'''       )
       snake_case					=       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
       snake_case					=       calculate_bleu if '''translation''' in args.task else calculate_rouge
       snake_case					=       [x.rstrip() for x in open(args.save_path       ).readlines()]
       snake_case					=       [x.rstrip() for x in open(args.reference_path       ).readlines()][: len(UpperCamelCase_       )]
       snake_case					=       score_fn(UpperCamelCase_							,UpperCamelCase_       )
       scores.update(UpperCamelCase_       )
  
       if args.dump_args:
            scores.update(UpperCamelCase_       )
       if args.info:
            snake_case					=       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)
  
  
  
  
  