


def   lowerCamelCase_       (					UpperCAmelCase__      ):



						"""simple docstring"""




						a_					=		[]
						a_					=		1

						for i in range(len(UpperCAmelCase_      )      ):
												if i + 1 < len(UpperCAmelCase_      ) and text[i] == text[i + 1]:
																		count += 1
												else:
																		encoded.append((text[i], count)      )
																		a_					=		1

						return encoded




def   lowerCamelCase_       (					UpperCAmelCase__      ):



						"""simple docstring"""




						return "".join(char * length for char, length in encoded      )


if __name__ == "__main__":
	from doctest import testmod

	testmod(name="""run_length_encode""", verbose=True)
	testmod(name="""run_length_decode""", verbose=True)



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

from ..features import Features


A_    :					Tuple             =TypeVar("""T""", bound="""TaskTemplate""")





@dataclass(frozen=UpperCamelCase__)
class        lowercase_				( abc.ABC):






							"""simple docstring"""







							snake_case_        =		42
							snake_case_        =		42
							snake_case_        =		42


							def 						lowercase__     (   self			,    _UpperCAmelCase		):







													"""simple docstring"""


													return copy.deepcopy(self		)


							@property
							def 						lowercase__     (   self		):







													"""simple docstring"""


													return Features(**self.input_schema			,    **self.label_schema		)


							@property
							@abc.abstractmethod
							def 						lowercase__     (   self		):







													"""simple docstring"""


													raise NotImplementedError






							@classmethod
							def 						lowercase__     (   cls			,    _UpperCAmelCase		):







													"""simple docstring"""


													a_					=		{f.name for f in dataclasses.fields(cls		)}
													return cls(**{k: v for k, v in template_dict.items() if k in field_names}		)