



"""simple docstring"""




# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/





"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


_UpperCamelCase:				int    							=  TypeVar('T', bound='TaskTemplate')


@dataclass(frozen=SCREAMING_SNAKE_CASE__     )
class   a__		(						abc.ABC     ):
   # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42
   _lowerCamelCase												=				42


   def        lowercase				(							self      :							T,     lowerCAmelCase      :							Features			)    ->       T:
         return copy.deepcopy(self			)


   @property
   def        lowercase				(							self      :							Union[str, Any]			)    ->       Features:
         return Features(**self.input_schema,     **self.label_schema			)


   @property
   @abc.abstractmethod
   def        lowercase				(							self      :							Tuple			)    ->       Dict[str, str]:
         raise NotImplementedError






   @classmethod
   def        lowercase				(							cls      :							Type[T],     lowerCAmelCase      :							dict			)    ->       T:
         lowercase  :      Union[str, Any]					=   {f.name for f in dataclasses.fields(cls			)}
         return cls(**{k: v for k, v in template_dict.items() if k in field_names}			)
