






"""simple docstring"""





from collections import deque




def 	UpperCAmelCase     (		A	:						Optional[int]       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		len(A       )
		_UpperCAmelCase							 =		deque()
		_UpperCAmelCase							 =		[False for _ in range(A       )]
		_UpperCAmelCase							 =		[-1 for _ in range(A       )]
		_UpperCAmelCase							 =		index_of[:]

		def strong_connect(A	:						List[Any]     ,				A	:						List[str]     ,				A	:						Optional[int]       ):
				_UpperCAmelCase							 =		index  # the number when this node is seen
				_UpperCAmelCase							 =		index  # lowest rank node reachable from here
				index += 1
				stack.append(A       )
				_UpperCAmelCase							 =		True

				for w in g[v]:
						if index_of[w] == -1:
								_UpperCAmelCase							 =		strong_connect(A     ,				A     ,				A       )
								_UpperCAmelCase							 =		(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)
						elif on_stack[w]:
								_UpperCAmelCase							 =		(
								    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
								)

				if lowlink_of[v] == index_of[v]:
						_UpperCAmelCase							 =		[]
						_UpperCAmelCase							 =		stack.pop()
						_UpperCAmelCase							 =		False
						component.append(A       )
						while w != v:
								_UpperCAmelCase							 =		stack.pop()
								_UpperCAmelCase							 =		False
								component.append(A       )
						components.append(A       )
				return index

		_UpperCAmelCase							 =		[]
		for v in range(A       ):
				if index_of[v] == -1:
						strong_connect(A     ,				0     ,				A       )

		return components




def 	UpperCAmelCase     (		A	:						List[Any]     ,				A	:						Optional[Any]       ):

		'''simple docstring'''


		_UpperCAmelCase							 =		[[] for _ in range(A       )]
		for u, v in edges:
				g[u].append(A       )
		return g


if __name__ == "__main__":
					# Test
					lowercase  							=					7
					lowercase  							=					[0, 0, 1, 2, 3, 3, 4, 4, 6]
					lowercase  							=					[1, 3, 2, 0, 1, 4, 5, 6, 5]
					lowercase  							=					[(u, v) for u, v in zip(source, target)]
					lowercase  							=					create_graph(n_vertices, edges)

					assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)







"""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  							=					logging.getLogger(__name__)

if __name__ == "__main__":
					lowercase  							=					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_05_22, type=int)
					lowercase  							=					parser.parse_args()

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

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


