




'''simple docstring'''







from timeit import timeit

lowercase      :   Optional[Any]      =       {
    """MALAYALAM""": True,
    """String""": False,
    """rotor""": True,
    """level""": True,
    """A""": True,
    """BB""": True,
    """ABC""": False,
    """amanaplanacanalpanama""": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      Any        =			0
     snake_case			:      str        =			len(__lowercase				) - 1
     while start_i < end_i:
          if s[start_i] == s[end_i]:
               start_i += 1
               end_i -= 1
          else:
               return False
     return True



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      List[str]        =			len(__lowercase				) // 2
     snake_case			:      List[Any]        =			len(__lowercase				)

     # We need to traverse till half of the length of string
     # as we can get access of the i'th last element from
     # i'th index.
     # eg: [0,1,2,3,4,5] => 4th index can be accessed
     # with the help of 1st index (i==n-i-1)
     # where n is length of string
     return all(s[i] == s[n - i - 1] for i in range(__lowercase				)				)



def        lowerCamelCase__				(      __lowercase				):
     if len(__lowercase				) <= 2:
          return True
     if s[0] == s[len(__lowercase				) - 1]:
          return is_palindrome_recursive(s[1:-1]				)
     else:
          return False



def        lowerCamelCase__				(      __lowercase				):
     return s == s[::-1]



def        lowerCamelCase__				(      __lowercase				):
     snake_case			:      str        =			F'''all({name}(key) is value for key, value in test_data.items())'''
     snake_case			:      List[Any]        =			F'''from __main__ import test_data, {name}'''
     snake_case			:      int        =			500_000
     snake_case			:      Any        =			timeit(stmt=__lowercase     ,   setup=__lowercase     ,   number=__lowercase				)
     print(F'''{name:<35} finished {number:,} runs in {result:.5f} seconds'''				)


if __name__ == "__main__":
      for key, value in test_data.items():
            assert is_palindrome(key) is is_palindrome_recursive(key)
            assert is_palindrome(key) is is_palindrome_slice(key)
            print(F"""{key:21} {value}""")
      print("""a man a plan a canal panama""")

      # finished 500,000 runs in 0.46793 seconds
      benchmark_function("""is_palindrome_slice""")
      # finished 500,000 runs in 0.85234 seconds
      benchmark_function("""is_palindrome""")
      # finished 500,000 runs in 1.32028 seconds
      benchmark_function("""is_palindrome_recursive""")
      # finished 500,000 runs in 2.08679 seconds
      benchmark_function("""is_palindrome_traversal""")









'''simple docstring'''







import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
lowercase      :   Any      =       logging.getLogger(__name__)

if __name__ == "__main__":
      lowercase      :   List[Any]      =       argparse.ArgumentParser(
          description="""Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"""
      )
      parser.add_argument(
          """--data_file""", type=str, default="""data/dump.bert-base-uncased.pickle""", help="""The binarized dataset."""
      )
      parser.add_argument(
          """--token_counts_dump""", type=str, default="""data/token_counts.bert-base-uncased.pickle""", help="""The dump file."""
      )
      parser.add_argument("""--vocab_size""", default=3_0522, type=int)
      lowercase      :   str      =       parser.parse_args()

      logger.info(F"""Loading data from {args.data_file}""")
      with open(args.data_file, """rb""") as fp:
            lowercase      :   int      =       pickle.load(fp)

      logger.info("""Counting occurrences for MLM.""")
      lowercase      :   List[Any]      =       Counter()
      for tk_ids in data:
            counter.update(tk_ids)
      lowercase      :   int      =       [0] * args.vocab_size
      for k, v in counter.items():
            lowercase      :   List[Any]      =       v

      logger.info(F"""Dump to {args.token_counts_dump}""")
      with open(args.token_counts_dump, """wb""") as handle:
            pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)



