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_    :		List[str]							=	logging.getLogger(__name__)

if __name__ == "__main__":
	lowerCamelCase_    :		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=30_522, type=int)
	lowerCamelCase_    :		List[str]							=	parser.parse_args()

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

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





def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					# Return True if there is node that has not iterated.
					__a		 =       [False] * len(__lowerCamelCase						)
					__a		 =       []
					queue.append(__lowerCamelCase						)
					__a		 =       True

					while queue:
										__a		 =       queue.pop(0						)
										for ind in range(len(graph[u]						)						):
															if visited[ind] is False and graph[u][ind] > 0:
																				queue.append(__lowerCamelCase						)
																				__a		 =       True
																				__a		 =       u

					return visited[t]
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					# This array is filled by BFS and to store path
					__a		 =       [-1] * (len(__lowerCamelCase						))
					__a		 =       0
					while bfs(__lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
										__a		 =       float('Inf'						)
										__a		 =       sink

										while s != source:
															# Find the minimum value in select path
															__a		 =       min(__lowerCamelCase				,    graph[parent[s]][s]						)
															__a		 =       parent[s]

										max_flow += path_flow
										__a		 =       sink

										while v != source:
															__a		 =       parent[v]
															graph[u][v] -= path_flow
															graph[v][u] += path_flow
															__a		 =       parent[v]
					return max_flow


lowerCamelCase_    :		str							=	[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

lowerCamelCase_						,  lowerCamelCase_    :		Union[str, Any]							=	0, 5



print(ford_fulkerson(graph, source, sink))




