


'''simple docstring'''
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type

from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import tqdm


lowerCAmelCase						=					re.compile("""[^A-Za-z_0-9]""")
# parameters used in DuplicationIndex
lowerCAmelCase						=					10
lowerCAmelCase						=					256

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[str]		)					->	Optional[MinHash]:







     """simple docstring"""
     if len(__UpperCamelCase		) < MIN_NUM_TOKENS:
          return None
     _A				=							MinHash(num_perm=__UpperCamelCase		)
     for token in set(__UpperCamelCase		):
          min_hash.update(token.encode()		)
     return min_hash

def 					lowerCamelCase_ ( __UpperCamelCase					:       str		)					->	Set[str]:







     """simple docstring"""
     return {t for t in NON_ALPHA.split(__UpperCamelCase		) if len(t.strip()		) > 0}






class        lowerCAmelCase_  :






       def __init__( self			,     *,
           _UpperCamelCase = 0.85			,     )->      List[Any]:
            _A				=							duplication_jaccard_threshold
            _A				=							NUM_PERM
            _A				=							MinHashLSH(threshold=self._duplication_jaccard_threshold			,     num_perm=self._num_perm   )

            _A				=							defaultdict(_UpperCamelCase   )






       def   UpperCamelCase						( self			,     _UpperCamelCase			,     _UpperCamelCase   )->      None:
            _A				=							self._index.query(_UpperCamelCase   )
            if code_key in self._index.keys:
                 print(F'Duplicate key {code_key}'   )
                 return

            self._index.insert(_UpperCamelCase			,     _UpperCamelCase   )
            if len(_UpperCamelCase   ) > 0:
                 for base_duplicate in close_duplicates:
                      if base_duplicate in self._duplicate_clusters:
                           self._duplicate_clusters[base_duplicate].add(_UpperCamelCase   )
                           break
                 else:
                      self._duplicate_clusters[close_duplicates[0]].add(_UpperCamelCase   )






       def   UpperCamelCase						( self   )->      List[List[Dict]]:
            _A				=							[]
            for base, duplicates in self._duplicate_clusters.items():
                 _A				=							[base] + list(_UpperCamelCase   )
                 # reformat the cluster to be a list of dict
                 _A				=							[{'base_index': el[0], 'repo_name': el[1], 'path': el[2]} for el in cluster]
                 duplicate_clusters.append(_UpperCamelCase   )
            return duplicate_clusters






       def   UpperCamelCase						( self			,     _UpperCamelCase   )->      None:
            _A				=							self.get_duplicate_clusters()
            with open(_UpperCamelCase			,     'w'   ) as f:
                 json.dump(_UpperCamelCase			,     _UpperCamelCase   )






def 					lowerCamelCase_ ( __UpperCamelCase					:       Tuple		)					->	Union[str, Any]:







     """simple docstring"""
     _A		,				_A				=							element
     _A				=							get_min_hash([t for t in NON_ALPHA.split(data['content']		) if len(t.strip()		) > 0]		)
     if min_hash is not None:
          return (index, data["repo_name"], data["path"]), min_hash

def 					lowerCamelCase_ ( __UpperCamelCase					:       Type[Dataset]		)					->	Tuple:







     """simple docstring"""
     with mp.Pool() as pool:
          for data in pool.imap_unordered(
              _compute_min_hash							,    ThreadedIterator(__UpperCamelCase							,    max_queue_size=1_0_0_0_0		)							,    chunksize=1_0_0							,    ):
               if data is not None:
                    yield data

def 					lowerCamelCase_ ( __UpperCamelCase					:       Type[Dataset]							,    __UpperCamelCase					:       float		)					->	Union[str, Any]:







     """simple docstring"""
     _A				=							DuplicationIndex(duplication_jaccard_threshold=__UpperCamelCase		)

     for filename, min_hash in tqdm(ThreadedIterator(minhash_iter(enumerate(__UpperCamelCase		)		)							,    max_queue_size=1_0_0		)		):
          di.add(__UpperCamelCase							,    __UpperCamelCase		)

     # Returns a List[Cluster] where Cluster is List[str] with the filenames.
     return di.get_duplicate_clusters()

def 					lowerCamelCase_ ( __UpperCamelCase					:       str							,    __UpperCamelCase					:       str		)					->	float:







     """simple docstring"""
     _A				=							get_tokens(__UpperCamelCase		)
     _A				=							get_tokens(__UpperCamelCase		)
     return len(tokensa & tokensa		) / len(tokensa | tokensa		)


lowerCAmelCase						=					None

def 					lowerCamelCase_ ( __UpperCamelCase					:       str							,    __UpperCamelCase					:       Union[str, Any]		)					->	Dict:







     """simple docstring"""
     _A				=							[]
     for elementa in cluster:
          _A				=							_shared_dataset[elementa['base_index']]['content']
          for elementa in extremes:
               _A				=							_shared_dataset[elementa['base_index']]['content']
               if jaccard_similarity(__UpperCamelCase							,    __UpperCamelCase		) >= jaccard_threshold:
                    elementa["copies"] += 1
                    break
          else:
               _A				=							1
               extremes.append(__UpperCamelCase		)
     return extremes

def 					lowerCamelCase_ ( __UpperCamelCase					:       List[str]							,    __UpperCamelCase					:       int							,    __UpperCamelCase					:       Optional[int]		)					->	List[Any]:







     """simple docstring"""
     global _shared_dataset
     _A				=							dataset
     _A				=							[]
     _A				=							partial(_find_cluster_extremes_shared							,    jaccard_threshold=__UpperCamelCase		)
     with mp.Pool() as pool:
          for extremes in tqdm(
              pool.imap_unordered(
                  __UpperCamelCase							,    __UpperCamelCase							,    )							,    total=len(__UpperCamelCase		)							,    ):
               extremes_list.append(__UpperCamelCase		)
     return extremes_list

def 					lowerCamelCase_ ( __UpperCamelCase					:       Type[Dataset]							,    __UpperCamelCase					:       float = 0.85		)					->	Tuple[Type[Dataset], List[List[Dict]]]:







     """simple docstring"""
     _A				=							make_duplicate_clusters(__UpperCamelCase							,    __UpperCamelCase		)
     _A				=							{x['base_index'] for cluster in duplicate_clusters for x in cluster}
     _A				=							{}
     _A				=							find_extremes(__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase		)
     for extremes in extremes_clusters:
          for element in extremes:
               _A				=							element
     _A				=							duplicate_indices - set(extreme_dict.keys()		)
     _A				=							dataset.filter(lambda __UpperCamelCase							,    __UpperCamelCase		: idx not in remove_indices							,    with_indices=__UpperCamelCase		)

     # update duplicate_clusters
     for cluster in duplicate_clusters:
          for element in cluster:
               _A				=							element['base_index'] in extreme_dict
               if element["is_extreme"]:
                    _A				=							extreme_dict[element['base_index']]['copies']

     print(F'Original dataset size: {len(__UpperCamelCase		)}'		)
     print(F'Number of duplicate clusters: {len(__UpperCamelCase		)}'		)
     print(F'Files in duplicate cluster: {len(__UpperCamelCase		)}'		)
     print(F'Unique files in duplicate cluster: {len(__UpperCamelCase		)}'		)
     print(F'Filtered dataset size: {len(__UpperCamelCase		)}'		)

     return ds_filter, duplicate_clusters









'''simple docstring'''
def 					lowerCamelCase_ ( __UpperCamelCase					:       int							,    __UpperCamelCase					:       int		)					->	int:







     """simple docstring"""
     while second != 0:
          _A				=							first & second
          first ^= second
          _A				=							c << 1
     return first


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    lowerCAmelCase						=					int(input("""Enter the first number: """).strip())
    lowerCAmelCase						=					int(input("""Enter the second number: """).strip())
    print(F'{add(first, second) = }')





