




"""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
)
lowerCAmelCase							:    Optional[int]  							=							logging.getLogger(__name__)

if __name__ == "__main__":
					lowerCAmelCase							:    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)
					lowerCAmelCase							:    Optional[int]  							=							parser.parse_args()

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

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









"""simple docstring"""




# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.



def 					a__				(       snake_case__       )		->      Dict:
			lowerCamelCase       =      [False] * len(snake_case__       )
			lowerCamelCase       =      [-1] * len(snake_case__       )

			def dfs(snake_case__ ,				snake_case__       ):
						lowerCamelCase       =      True
						lowerCamelCase       =      c
						for u in graph[v]:
									if not visited[u]:
												dfs(snake_case__ ,				1 - c       )

			for i in range(len(snake_case__       )       ):
						if not visited[i]:
									dfs(snake_case__ ,				0       )

			for i in range(len(snake_case__       )       ):
						for j in graph[i]:
									if color[i] == color[j]:
												return False

			return True


# Adjacency list of graph
lowerCAmelCase							:    str  							=							{0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}


print(check_bipartite_dfs(graph))



