





import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


__lowerCamelCase       :     List[str]   =     logging.getLogger(__name__)



class 					A__   (       __snake_case			):





      def __init__( self       ,							A_=-1   ):
       '''simple docstring'''




       UpperCamelCase	:					Dict       	=   label_idx





      def        __UpperCamelCase( self       ,							A_       ,							A_   ):
       '''simple docstring'''




       if isinstance(A_       ,							A_   ):
        UpperCamelCase	:					List[Any]       	=   mode.value
       UpperCamelCase	:					Dict       	=   os.path.join(A_       ,							F"""{mode}.txt"""   )
       UpperCamelCase	:					Dict       	=   1
       UpperCamelCase	:					List[str]       	=   []
       with open(A_       ,							encoding="utf-8"   ) as f:
        UpperCamelCase	:					Dict       	=   []
        UpperCamelCase	:					Tuple       	=   []
        for line in f:
         if line.startswith("-DOCSTART-"   ) or line == "" or line == "\n":
          if words:
           examples.append(InputExample(guid=F"""{mode}-{guid_index}"""       ,							words=A_       ,							labels=A_   )   )
           guid_index += 1
           UpperCamelCase	:					Dict       	=   []
           UpperCamelCase	:					Optional[Any]       	=   []
         else:
          UpperCamelCase	:					str       	=   line.split(" "   )
          words.append(splits[0]   )
          if len(A_   ) > 1:
           labels.append(splits[self.label_idx].replace("\n"       ,							""   )   )
          else:
           # Examples could have no label for mode = "test"
           labels.append("O"   )
        if words:
         examples.append(InputExample(guid=F"""{mode}-{guid_index}"""       ,							words=A_       ,							labels=A_   )   )
       return examples





      def        __UpperCamelCase( self       ,							A_       ,							A_       ,							A_   ):
       '''simple docstring'''




       UpperCamelCase	:					Dict       	=   0
       for line in test_input_reader:
        if line.startswith("-DOCSTART-"   ) or line == "" or line == "\n":
         writer.write(A_   )
         if not preds_list[example_id]:
          example_id += 1
        elif preds_list[example_id]:
         UpperCamelCase	:					Tuple       	=   line.split()[0] + " " + preds_list[example_id].pop(0   ) + "\n"
         writer.write(A_   )
        else:
         logger.warning("Maximum sequence length exceeded: No prediction for '%s'."       ,							line.split()[0]   )





      def        __UpperCamelCase( self       ,							A_   ):
       '''simple docstring'''




       if path:
        with open(A_       ,							"r"   ) as f:
         UpperCamelCase	:					Union[str, Any]       	=   f.read().splitlines()
        if "O" not in labels:
         UpperCamelCase	:					Dict       	=   ["O"] + labels
        return labels
       else:
        return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]



class 					A__   (       __snake_case			):





      def __init__( self   ):
       '''simple docstring'''




       super().__init__(label_idx=-2   )





      def        __UpperCamelCase( self       ,							A_   ):
       '''simple docstring'''




       if path:
        with open(A_       ,							"r"   ) as f:
         UpperCamelCase	:					Dict       	=   f.read().splitlines()
        if "O" not in labels:
         UpperCamelCase	:					Optional[Any]       	=   ["O"] + labels
        return labels
       else:
        return [
            "O",
            "B-ADVP",
            "B-INTJ",
            "B-LST",
            "B-PRT",
            "B-NP",
            "B-SBAR",
            "B-VP",
            "B-ADJP",
            "B-CONJP",
            "B-PP",
            "I-ADVP",
            "I-INTJ",
            "I-LST",
            "I-PRT",
            "I-NP",
            "I-SBAR",
            "I-VP",
            "I-ADJP",
            "I-CONJP",
            "I-PP",
        ]



class 					A__   (       __snake_case			):





      def        __UpperCamelCase( self       ,							A_       ,							A_   ):
       '''simple docstring'''




       if isinstance(A_       ,							A_   ):
        UpperCamelCase	:					str       	=   mode.value
       UpperCamelCase	:					List[Any]       	=   os.path.join(A_       ,							F"""{mode}.txt"""   )
       UpperCamelCase	:					Tuple       	=   1
       UpperCamelCase	:					Dict       	=   []

       with open(A_       ,							encoding="utf-8"   ) as f:
        for sentence in parse_incr(A_   ):
         UpperCamelCase	:					Union[str, Any]       	=   []
         UpperCamelCase	:					Optional[Any]       	=   []
         for token in sentence:
          words.append(token["form"]   )
          labels.append(token["upos"]   )
         assert len(A_   ) == len(A_   )
         if words:
          examples.append(InputExample(guid=F"""{mode}-{guid_index}"""       ,							words=A_       ,							labels=A_   )   )
          guid_index += 1
       return examples





      def        __UpperCamelCase( self       ,							A_       ,							A_       ,							A_   ):
       '''simple docstring'''




       UpperCamelCase	:					List[str]       	=   0
       for sentence in parse_incr(A_   ):
        UpperCamelCase	:					int       	=   preds_list[example_id]
        UpperCamelCase	:					Tuple       	=   ""
        for token in sentence:
         out += F"""{token["form"]} ({token["upos"]}|{s_p.pop(0   )}) """
        out += "\n"
        writer.write(A_   )
        example_id += 1





      def        __UpperCamelCase( self       ,							A_   ):
       '''simple docstring'''




       if path:
        with open(A_       ,							"r"   ) as f:
         return f.read().splitlines()
       else:
        return [
            "ADJ",
            "ADP",
            "ADV",
            "AUX",
            "CCONJ",
            "DET",
            "INTJ",
            "NOUN",
            "NUM",
            "PART",
            "PRON",
            "PROPN",
            "PUNCT",
            "SCONJ",
            "SYM",
            "VERB",
            "X",
        ]







from __future__ import annotations

from functools import lru_cache
from math import ceil

__lowerCamelCase       :     str   =     100

__lowerCamelCase       :     Any   =     set(range(3, NUM_PRIMES, 2))
primes.add(2)
__lowerCamelCase       :     int

for prime in range(3, ceil(NUM_PRIMES**0.5), 2):
    if prime not in primes:
        continue
    primes.difference_update(set(range(prime * prime, NUM_PRIMES, prime)))



@lru_cache(maxsize=100     )
def 		A_				(     _lowerCAmelCase     )						-> set[int]:
 if number_to_partition < 0:
  return set()
 elif number_to_partition == 0:
  return {1}

 UpperCamelCase	:					set[int]       	=   set()
 UpperCamelCase	:					int
 UpperCamelCase	:					int

 for prime in primes:
  if prime > number_to_partition:
   continue
  for sub in partition(number_to_partition - prime     ):
   ret.add(sub * prime     )

 return ret



def 		A_				(     _lowerCAmelCase = 5000     )						-> int | None:
 for number_to_partition in range(1							,   _lowerCAmelCase     ):
  if len(partition(_lowerCAmelCase     )     ) > number_unique_partitions:
   return number_to_partition
 return None


if __name__ == "__main__":
    print(f"""{solution() = }""")
