






import re

from flax.core.frozen_dict import freeze
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.experimental import PartitionSpec as P


# Sentinels
UpperCamelCase								=		object()

# For specifying empty leaf dict `{}`
UpperCamelCase								=		object()






def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)     ->    List[str]:
							_lowercase							:   Optional[int] 							=   tuple((re.compile(x + '$'				) for x in qs)				)
							for i in range(len(SCREAMING_SNAKE_CASE				) - len(SCREAMING_SNAKE_CASE				) + 1				):
														_lowercase							:   Tuple 							=   [x.match(SCREAMING_SNAKE_CASE				) for x, y in zip(SCREAMING_SNAKE_CASE     ,     ks[i:]				)]
														if matches and all(SCREAMING_SNAKE_CASE				):
																					return True
							return False






def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    Dict:
							def replace(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				):
														for rule, replacement in rules:
																					if _match(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				):
																												return replacement
														return val

							return replace






def    __magic_name__    (	)     ->    Dict:
							return [
							    # embeddings
							    (("transformer", "wpe", "embedding"), P('mp'     ,     SCREAMING_SNAKE_CASE				)),
							    (("transformer", "wte", "embedding"), P('mp'     ,     SCREAMING_SNAKE_CASE				)),
							    # atention
							    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(SCREAMING_SNAKE_CASE     ,     'mp'				)),
							    (("attention", "out_proj", "kernel"), P('mp'     ,     SCREAMING_SNAKE_CASE				)),
							    (("attention", "out_proj", "bias"), None),
							    # mlp
							    (("mlp", "c_fc", "kernel"), P(SCREAMING_SNAKE_CASE     ,     'mp'				)),
							    (("mlp", "c_fc", "bias"), P('mp'				)),
							    (("mlp", "c_proj", "kernel"), P('mp'     ,     SCREAMING_SNAKE_CASE				)),
							    (("mlp", "c_proj", "bias"), None),
							    # layer norms
							    ((r"ln_\d+", "bias"), None),
							    ((r"\d+", r"ln_\d+", "scale"), None),
							    (("ln_f", "bias"), None),
							    (("ln_f", "scale"), None),
							]






def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    Dict:
							_lowercase							:   Optional[int] 							=   _get_partition_rules()
							_lowercase							:   Optional[int] 							=   _replacement_rules(SCREAMING_SNAKE_CASE				)
							_lowercase							:   Optional[Any] 							=   {k: _unmatched for k in flatten_dict(SCREAMING_SNAKE_CASE				)}
							_lowercase							:   int 							=   {k: replace(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				) for k, v in initd.items()}
							assert _unmatched not in result.values(), "Incomplete partition spec."
							return freeze(unflatten_dict(SCREAMING_SNAKE_CASE				)				)







"""simple docstring"""


from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate





@dataclass(frozen=SCREAMING_SNAKE_CASE    )
class lowerCamelCase__   (				SCREAMING_SNAKE_CASE    ):



    '''simple docstring'''




    _lowerCamelCase					=   field(default='''summarization'''     ,   metadata={'''include_in_asdict_even_if_is_default''': True}    )
    _lowerCamelCase					=   Features({'''text''': Value('''string'''    )}    )
    _lowerCamelCase					=   Features({'''summary''': Value('''string'''    )}    )
    _lowerCamelCase					=   "text"
    _lowerCamelCase					=   "summary"




    @property
    def UpperCamelCase__		( self    )    ->      Dict[str, str]:
          return {self.text_column: "text", self.summary_column: "summary"}




