

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
SCREAMING_SNAKE_CASE_        =      object()

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

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Union[str, Any] )   ->       List[Any]:
				_UpperCAmelCase       :		int 		=    tuple((re.compile(x + "$" ) for x in qs) )
				for i in range(len(lowerCAmelCase ) - len(lowerCAmelCase ) + 1 ):
								_UpperCAmelCase       :		Optional[Any] 		=    [x.match(lowerCAmelCase ) for x, y in zip(lowerCAmelCase  ,      ks[i:] )]
								if matches and all(lowerCAmelCase ):
												return True
				return False

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Dict )   ->       int:
				def replace(lowerCAmelCase:  Union[str, Any]  ,      lowerCAmelCase:  Optional[Any] ):
								for rule, replacement in rules:
												if _match(lowerCAmelCase  ,      lowerCAmelCase ):
																return replacement
								return val

				return replace

def 							__SCREAMING_SNAKE_CASE							(				)   ->       List[str]:
				return [
				    # embeddings
				    (("transformer", "wpe", "embedding"), P("mp"  ,      lowerCAmelCase )),
				    (("transformer", "wte", "embedding"), P("mp"  ,      lowerCAmelCase )),
				    # atention
				    (("attention", "(q_proj|k_proj|v_proj)", "kernel"), P(lowerCAmelCase  ,      "mp" )),
				    (("attention", "out_proj", "kernel"), P("mp"  ,      lowerCAmelCase )),
				    (("attention", "out_proj", "bias"), None),
				    # mlp
				    (("mlp", "c_fc", "kernel"), P(lowerCAmelCase  ,      "mp" )),
				    (("mlp", "c_fc", "bias"), P("mp" )),
				    (("mlp", "c_proj", "kernel"), P("mp"  ,      lowerCAmelCase )),
				    (("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 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Dict )   ->       int:
				_UpperCAmelCase       :		str 		=    _get_partition_rules()
				_UpperCAmelCase       :		int 		=    _replacement_rules(lowerCAmelCase )
				_UpperCAmelCase       :		Any 		=    {k: _unmatched for k in flatten_dict(lowerCAmelCase )}
				_UpperCAmelCase       :		str 		=    {k: replace(lowerCAmelCase  ,      lowerCAmelCase ) for k, v in initd.items()}
				assert _unmatched not in result.values(), "Incomplete partition spec."
				return freeze(unflatten_dict(lowerCAmelCase ) )





import fire

from utils import calculate_rouge, save_json

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  Any=None  ,      **lowerCAmelCase:  Any )   ->       Dict:
				_UpperCAmelCase       :		Optional[Any] 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()]
				_UpperCAmelCase       :		str 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()][: len(lowerCAmelCase )]
				_UpperCAmelCase       :		str 		=    calculate_rouge(lowerCAmelCase  ,      lowerCAmelCase  ,      **lowerCAmelCase )
				if save_path is not None:
								save_json(lowerCAmelCase  ,      lowerCAmelCase  ,      indent=lowerCAmelCase )
				return metrics  # these print nicely


if __name__ == "__main__":
					fire.Fire(calculate_rouge_path)


