import json
import os
import shutil
import tempfile
import unittest

from transformers.models.wavaveca import WavaVecaCTCTokenizer, WavaVecaFeatureExtractor, WavaVecaProcessor
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_wavaveca import floats_list

class 						A__      (					unittest.TestCase			):







    """simple docstring"""

    def 	a_    ( self					):
         snake_case					=       '''<pad> <s> </s> <unk> | E T A O N I H S R D L U M W C F G Y P B V K \' X J Q Z'''.split(''' '''					)
         snake_case					=       dict(zip(snake_case_    ,      range(len(snake_case_					)					)					)					)

         snake_case					=       {
             '''pad_token''': '''<pad>''',
             '''unk_token''': '''<unk>''',
             '''bos_token''': '''<s>''',
             '''eos_token''': '''</s>''',
         }
         snake_case					=       {
             '''feature_size''': 1,
             '''padding_value''': 0.0,
             '''sampling_rate''': 1_6_0_0_0,
             '''return_attention_mask''': False,
             '''do_normalize''': True,
         }

         snake_case					=       tempfile.mkdtemp()
         snake_case					=       os.path.join(self.tmpdirname    ,      VOCAB_FILES_NAMES['''vocab_file''']					)
         snake_case					=       os.path.join(self.tmpdirname    ,      snake_case_					)
         with open(self.vocab_file    ,      '''w'''    ,      encoding='''utf-8'''					) as fp:
              fp.write(json.dumps(snake_case_					) + '''\n'''					)

         with open(self.feature_extraction_file    ,      '''w'''    ,      encoding='''utf-8'''					) as fp:
              fp.write(json.dumps(snake_case_					) + '''\n'''					)
    def 	a_    ( self    ,      **__snake_case					):
         snake_case					=       self.add_kwargs_tokens_map.copy()
         kwargs.update(snake_case_					)
         return WavaVecaCTCTokenizer.from_pretrained(self.tmpdirname    ,      **snake_case_					)
    def 	a_    ( self    ,      **__snake_case					):
         return WavaVecaFeatureExtractor.from_pretrained(self.tmpdirname    ,      **snake_case_					)
    def 	a_    ( self					):
         shutil.rmtree(self.tmpdirname					)
    def 	a_    ( self					):
         snake_case					=       self.get_tokenizer()
         snake_case					=       self.get_feature_extractor()

         snake_case					=       WavaVecaProcessor(tokenizer=snake_case_    ,      feature_extractor=snake_case_					)

         processor.save_pretrained(self.tmpdirname					)
         snake_case					=       WavaVecaProcessor.from_pretrained(self.tmpdirname					)

         self.assertEqual(processor.tokenizer.get_vocab()    ,      tokenizer.get_vocab()					)
         self.assertIsInstance(processor.tokenizer    ,      snake_case_					)

         self.assertEqual(processor.feature_extractor.to_json_string()    ,      feature_extractor.to_json_string()					)
         self.assertIsInstance(processor.feature_extractor    ,      snake_case_					)
    def 	a_    ( self					):
         snake_case					=       WavaVecaProcessor(tokenizer=self.get_tokenizer()    ,      feature_extractor=self.get_feature_extractor()					)
         processor.save_pretrained(self.tmpdirname					)

         snake_case					=       self.get_tokenizer(bos_token='''(BOS)'''    ,      eos_token='''(EOS)'''					)
         snake_case					=       self.get_feature_extractor(do_normalize=snake_case_    ,      padding_value=1.0					)

         snake_case					=       WavaVecaProcessor.from_pretrained(
             self.tmpdirname    ,      bos_token='''(BOS)'''    ,      eos_token='''(EOS)'''    ,      do_normalize=snake_case_    ,      padding_value=1.0					)

         self.assertEqual(processor.tokenizer.get_vocab()    ,      tokenizer_add_kwargs.get_vocab()					)
         self.assertIsInstance(processor.tokenizer    ,      snake_case_					)

         self.assertEqual(processor.feature_extractor.to_json_string()    ,      feature_extractor_add_kwargs.to_json_string()					)
         self.assertIsInstance(processor.feature_extractor    ,      snake_case_					)
    def 	a_    ( self					):
         snake_case					=       self.get_feature_extractor()
         snake_case					=       self.get_tokenizer()

         snake_case					=       WavaVecaProcessor(tokenizer=snake_case_    ,      feature_extractor=snake_case_					)

         snake_case					=       floats_list((3, 1_0_0_0)					)

         snake_case					=       feature_extractor(snake_case_    ,      return_tensors='''np'''					)
         snake_case					=       processor(snake_case_    ,      return_tensors='''np'''					)

         for key in input_feat_extract.keys():
              self.assertAlmostEqual(input_feat_extract[key].sum()    ,      input_processor[key].sum()    ,      delta=1E-2					)
    def 	a_    ( self					):
         snake_case					=       self.get_feature_extractor()
         snake_case					=       self.get_tokenizer()

         snake_case					=       WavaVecaProcessor(tokenizer=snake_case_    ,      feature_extractor=snake_case_					)

         snake_case					=       '''This is a test string'''

         snake_case					=       processor(text=snake_case_					)

         snake_case					=       tokenizer(snake_case_					)

         for key in encoded_tok.keys():
              self.assertListEqual(encoded_tok[key]    ,      encoded_processor[key]					)
    def 	a_    ( self					):
         snake_case					=       self.get_feature_extractor()
         snake_case					=       self.get_tokenizer()

         snake_case					=       WavaVecaProcessor(tokenizer=snake_case_    ,      feature_extractor=snake_case_					)

         snake_case					=       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

         snake_case					=       processor.batch_decode(snake_case_					)
         snake_case					=       tokenizer.batch_decode(snake_case_					)

         self.assertListEqual(snake_case_    ,      snake_case_					)




    def 	a_    ( self					):
         snake_case					=       self.get_feature_extractor()
         snake_case					=       self.get_tokenizer()

         snake_case					=       WavaVecaProcessor(tokenizer=snake_case_    ,      feature_extractor=snake_case_					)

         self.assertListEqual(
             processor.model_input_names    ,      feature_extractor.model_input_names    ,      msg='''`processor` and `feature_extractor` model input names do not match'''    ,      )








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.")




