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  snake_case  (       snake_case__			:Optional[int]   ,	snake_case__			:Optional[Any])						->   Tuple:
       _A        =  tuple((re.compile(x + """$""") for x in qs))
       for i in range(len(snake_case__) - len(snake_case__) + 1):
              _A        =  [x.match(snake_case__) for x, y in zip(snake_case__   ,	ks[i:])]
              if matches and all(snake_case__):
                     return True
       return False






def  snake_case  (       snake_case__			:Optional[int])						->   Optional[int]:
       def replace(snake_case__			:Optional[Any]   ,	snake_case__			:Optional[Any]):
              for rule, replacement in rules:
                     if _match(snake_case__   ,	snake_case__):
                            return replacement
              return val

       return replace






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





def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       _A        =  set()

       # Replace all the whitespace in our sentence
       _A        =  input_str.replace(""" """   ,	"""""")
       for alpha in input_str:
              if "a" <= alpha.lower() <= "z":
                     frequency.add(alpha.lower())
       return len(snake_case__) == 26






def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       _A        =  [False] * 26
       for char in input_str:
              if char.islower():
                     _A        =  True
              elif char.isupper():
                     _A        =  True
       return all(snake_case__)






def  snake_case  (       snake_case__			:str = "The quick brown fox jumps over the lazy dog"   ,	)						->   bool:
       return len({char for char in input_str.lower() if char.isalpha()}) == 26






def  snake_case  (       )						->   None:
       from timeit import timeit

       _A        =  """from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
       print(timeit("""is_pangram()"""   ,	setup=snake_case__))
       print(timeit("""is_pangram_faster()"""   ,	setup=snake_case__))
       print(timeit("""is_pangram_fastest()"""   ,	setup=snake_case__))
       # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
       # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    benchmark()




