




"""simple docstring"""







class       SCREAMING_SNAKE_CASE__					:


						def __init__(							self				:			Union[str, Any]						,						lowerCAmelCase				:			Optional[int]						,						lowerCAmelCase				:			Dict						,						lowerCAmelCase				:			List[str]					):
										lowerCAmelCase  =				None
										lowerCAmelCase  =				None
										lowerCAmelCase  =				graph

										self._normalize_graph(lowerCAmelCase						,						lowerCAmelCase					)
										lowerCAmelCase  =				len(lowerCAmelCase					)
										lowerCAmelCase  =				None


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			Optional[Any]					):
										if sources is int:
														lowerCAmelCase  =				[sources]
										if sinks is int:
														lowerCAmelCase  =				[sinks]

										if len(lowerCAmelCase					) == 0 or len(lowerCAmelCase					) == 0:
														return

										lowerCAmelCase  =				sources[0]
										lowerCAmelCase  =				sinks[0]

										# make fake vertex if there are more
										# than one source or sink
										if len(lowerCAmelCase					) > 1 or len(lowerCAmelCase					) > 1:
														lowerCAmelCase  =				0
														for i in sources:
																		max_input_flow += sum(self.graph[i]					)

														lowerCAmelCase  =				len(self.graph					) + 1
														for room in self.graph:
																		room.insert(0						,						0					)
														self.graph.insert(0						,						[0] * size					)
														for i in sources:
																		lowerCAmelCase  =				max_input_flow
														lowerCAmelCase  =				0

														lowerCAmelCase  =				len(self.graph					) + 1
														for room in self.graph:
																		room.append(0					)
														self.graph.append([0] * size					)
														for i in sinks:
																		lowerCAmelCase  =				max_input_flow
														lowerCAmelCase  =				size - 1


						def   __lowercase (							self				:			str					):
										if self.maximum_flow_algorithm is None:
														raise Exception("""You need to set maximum flow algorithm before."""					)
										if self.source_index is None or self.sink_index is None:
														return 0

										self.maximum_flow_algorithm.execute()
										return self.maximum_flow_algorithm.getMaximumFlow()




						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			Optional[Any]					):
										lowerCAmelCase  =				algorithm(self					)






class       SCREAMING_SNAKE_CASE__					:


						def __init__(							self				:			Tuple						,						lowerCAmelCase				:			str					):
										lowerCAmelCase  =				flow_network
										lowerCAmelCase  =				flow_network.verticesCount
										lowerCAmelCase  =				flow_network.sourceIndex
										lowerCAmelCase  =				flow_network.sinkIndex
										# it's just a reference, so you shouldn't change
										# it in your algorithms, use deep copy before doing that
										lowerCAmelCase  =				flow_network.graph
										lowerCAmelCase  =				False


						def   __lowercase (							self				:			Optional[Any]					):
										if not self.executed:
														self._algorithm()
														lowerCAmelCase  =				True




						def   __lowercase (							self				:			Optional[int]					):
										pass






class       SCREAMING_SNAKE_CASE__					(					_a					):


						def __init__(							self				:			Optional[Any]						,						lowerCAmelCase				:			str					):
										super().__init__(lowerCAmelCase					)
										# use this to save your result
										lowerCAmelCase  =				-1




						def   __lowercase (							self				:			Optional[Any]					):
										if not self.executed:
														raise Exception("""You should execute algorithm before using its result!"""					)

										return self.maximum_flow






class       SCREAMING_SNAKE_CASE__					(					_a					):


						def __init__(							self				:			Dict						,						lowerCAmelCase				:			Dict					):
										super().__init__(lowerCAmelCase					)

										lowerCAmelCase  =				[[0] * self.verticies_count for i in range(self.verticies_count					)]

										lowerCAmelCase  =				[0] * self.verticies_count
										lowerCAmelCase  =				[0] * self.verticies_count


						def   __lowercase (							self				:			Optional[Any]					):
										lowerCAmelCase  =				self.verticies_count

										# push some substance to graph
										for nextvertex_index, bandwidth in enumerate(self.graph[self.source_index]					):
														self.preflow[self.source_index][nextvertex_index] += bandwidth
														self.preflow[nextvertex_index][self.source_index] -= bandwidth
														self.excesses[nextvertex_index] += bandwidth

										# Relabel-to-front selection rule
										lowerCAmelCase  =				[
										    i
										    for i in range(self.verticies_count					)
										    if i != self.source_index and i != self.sink_index
										]

										# move through list
										lowerCAmelCase  =				0
										while i < len(lowerCAmelCase					):
														lowerCAmelCase  =				vertices_list[i]
														lowerCAmelCase  =				self.heights[vertex_index]
														self.process_vertex(lowerCAmelCase					)
														if self.heights[vertex_index] > previous_height:
																		# if it was relabeled, swap elements
																		# and start from 0 index
																		vertices_list.insert(0						,						vertices_list.pop(lowerCAmelCase					)					)
																		lowerCAmelCase  =				0
														else:
																		i += 1

										lowerCAmelCase  =				sum(self.preflow[self.source_index]					)


						def   __lowercase (							self				:			Any						,						lowerCAmelCase				:			List[Any]					):
										while self.excesses[vertex_index] > 0:
														for neighbour_index in range(self.verticies_count					):
																		# if it's neighbour and current vertex is higher
																		if (
																		    self.graph[vertex_index][neighbour_index]
																		    - self.preflow[vertex_index][neighbour_index]
																		    > 0
																		    and self.heights[vertex_index] > self.heights[neighbour_index]
																		):
																						self.push(lowerCAmelCase						,						lowerCAmelCase					)

														self.relabel(lowerCAmelCase					)


						def   __lowercase (							self				:			Tuple						,						lowerCAmelCase				:			List[str]						,						lowerCAmelCase				:			List[Any]					):
										lowerCAmelCase  =				min(
										    self.excesses[from_index]						,						self.graph[from_index][to_index] - self.preflow[from_index][to_index]						,						)
										self.preflow[from_index][to_index] += preflow_delta
										self.preflow[to_index][from_index] -= preflow_delta
										self.excesses[from_index] -= preflow_delta
										self.excesses[to_index] += preflow_delta




						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			Tuple					):
										lowerCAmelCase  =				None
										for to_index in range(self.verticies_count					):
														if (
														    self.graph[vertex_index][to_index]
														    - self.preflow[vertex_index][to_index]
														    > 0
														) and (min_height is None or self.heights[to_index] < min_height):
																		lowerCAmelCase  =				self.heights[to_index]

										if min_height is not None:
														lowerCAmelCase  =				min_height + 1


if __name__ == "__main__":
		a      =							[0]
		a      =							[3]
		# graph = [
		#     [0, 0, 4, 6, 0, 0],
		#     [0, 0, 5, 2, 0, 0],
		#     [0, 0, 0, 0, 4, 4],
		#     [0, 0, 0, 0, 6, 6],
		#     [0, 0, 0, 0, 0, 0],
		#     [0, 0, 0, 0, 0, 0],
		# ]
		a      =							[[0, 7, 0, 0], [0, 0, 6, 0], [0, 0, 0, 8], [9, 0, 0, 0]]

		# prepare our network
		a      =							FlowNetwork(graph, entrances, exits)
		# set algorithm
		flow_network.set_maximum_flow_algorithm(PushRelabelExecutor)
		# and calculate
		a      =							flow_network.find_maximum_flow()

		print(f"""maximum flow is {maximum_flow}""")











"""simple docstring"""







import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a      =							get_tests_dir('fixtures/test_sentencepiece.model')






@require_sentencepiece
@require_tokenizers
class       SCREAMING_SNAKE_CASE__					(					_a						,				unittest.TestCase					):
						_a    						=						XGLMTokenizer
						_a    						=						XGLMTokenizerFast
						_a    						=						True
						_a    						=						True


						def   __lowercase (							self				:			Union[str, Any]					):
										super().setUp()

										# We have a SentencePiece fixture for testing
										lowerCAmelCase  =				XGLMTokenizer(lowerCAmelCase						,						keep_accents=lowerCAmelCase					)
										tokenizer.save_pretrained(self.tmpdirname					)


						def   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				"""<pad>"""
										lowerCAmelCase  =				1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase					)						,						lowerCAmelCase					)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase					)						,						lowerCAmelCase					)


						def   __lowercase (							self				:			List[str]					):
										lowerCAmelCase  =				list(self.get_tokenizer().get_vocab().keys()					)

										self.assertEqual(vocab_keys[0]						,						"""<s>"""					)
										self.assertEqual(vocab_keys[1]						,						"""<pad>"""					)
										self.assertEqual(len(lowerCAmelCase					)						,						1008					)


						def   __lowercase (							self				:			Optional[int]					):
										self.assertEqual(self.get_tokenizer().vocab_size						,						1008					)


						def   __lowercase (							self				:			int					):
										lowerCAmelCase  =				XGLMTokenizer(lowerCAmelCase						,						keep_accents=lowerCAmelCase					)

										lowerCAmelCase  =				tokenizer.tokenize("""This is a test"""					)
										self.assertListEqual(lowerCAmelCase						,						["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]					)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(lowerCAmelCase					)						,						[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]						,						)

										lowerCAmelCase  =				tokenizer.tokenize("""I was born in 92000, and this is falsé."""					)
										self.assertListEqual(
										    lowerCAmelCase						,						[
										        SPIECE_UNDERLINE + """I""",
										        SPIECE_UNDERLINE + """was""",
										        SPIECE_UNDERLINE + """b""",
										        """or""",
										        """n""",
										        SPIECE_UNDERLINE + """in""",
										        SPIECE_UNDERLINE + """""",
										        """9""",
										        """2""",
										        """0""",
										        """0""",
										        """0""",
										        """,""",
										        SPIECE_UNDERLINE + """and""",
										        SPIECE_UNDERLINE + """this""",
										        SPIECE_UNDERLINE + """is""",
										        SPIECE_UNDERLINE + """f""",
										        """al""",
										        """s""",
										        """é""",
										        """.""",
										    ]						,						)
										lowerCAmelCase  =				tokenizer.convert_tokens_to_ids(lowerCAmelCase					)
										self.assertListEqual(
										    lowerCAmelCase						,						[
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										    ]						,						)

										lowerCAmelCase  =				tokenizer.convert_ids_to_tokens(lowerCAmelCase					)
										self.assertListEqual(
										    lowerCAmelCase						,						[
										        SPIECE_UNDERLINE + """I""",
										        SPIECE_UNDERLINE + """was""",
										        SPIECE_UNDERLINE + """b""",
										        """or""",
										        """n""",
										        SPIECE_UNDERLINE + """in""",
										        SPIECE_UNDERLINE + """""",
										        """<unk>""",
										        """2""",
										        """0""",
										        """0""",
										        """0""",
										        """,""",
										        SPIECE_UNDERLINE + """and""",
										        SPIECE_UNDERLINE + """this""",
										        SPIECE_UNDERLINE + """is""",
										        SPIECE_UNDERLINE + """f""",
										        """al""",
										        """s""",
										        """<unk>""",
										        """.""",
										    ]						,						)


						@cached_property
						def   __lowercase (							self				:			Optional[Any]					):
										return XGLMTokenizer.from_pretrained("""facebook/xglm-564M"""					)


						def   __lowercase (							self				:			List[str]					):
										with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(lowerCAmelCase						,						f.name					)
														lowerCAmelCase  =				XGLMTokenizer(f.name						,						keep_accents=lowerCAmelCase					)
														lowerCAmelCase  =				pickle.dumps(lowerCAmelCase					)
										pickle.loads(lowerCAmelCase					)


						def   __lowercase (							self				:			Optional[int]					):
										if not self.test_rust_tokenizer:
														return

										lowerCAmelCase  =				self.get_tokenizer()
										lowerCAmelCase  =				self.get_rust_tokenizer()

										lowerCAmelCase  =				"""I was born in 92000, and this is falsé."""

										lowerCAmelCase  =				tokenizer.tokenize(lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.tokenize(lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)

										lowerCAmelCase  =				tokenizer.encode(lowerCAmelCase						,						add_special_tokens=lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.encode(lowerCAmelCase						,						add_special_tokens=lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)

										lowerCAmelCase  =				self.get_rust_tokenizer()
										lowerCAmelCase  =				tokenizer.encode(lowerCAmelCase					)
										lowerCAmelCase  =				rust_tokenizer.encode(lowerCAmelCase					)
										self.assertListEqual(lowerCAmelCase						,						lowerCAmelCase					)


						@slow
						def   __lowercase (							self				:			Union[str, Any]					):
										lowerCAmelCase  =				"""Hello World!"""
										lowerCAmelCase  =				[2, 3_1227, 4447, 35]

										self.assertListEqual(lowerCAmelCase						,						self.big_tokenizer.encode(lowerCAmelCase					)					)


						@slow
						def   __lowercase (							self				:			str					):
										lowerCAmelCase  =				(
										    """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
										    """ add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"""
										)
										# fmt: off
										lowerCAmelCase  =				[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 7_1630, 2_8085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 1_3675, 377, 652, 7580, 1_0341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 20_2277, 1_7892, 33, 60, 87, 4, 3234, 157, 61, 2667, 5_2376, 19, 88, 23, 735]
										# fmt: on

										self.assertListEqual(lowerCAmelCase						,						self.big_tokenizer.encode(lowerCAmelCase					)					)




						@slow
						def   __lowercase (							self				:			str					):
										# fmt: off
										lowerCAmelCase  =				{
										    """input_ids""": [[2, 10_8825, 1163, 15, 8_8010, 473, 1_5898, 157, 1_3672, 1857, 312, 8, 23_8021, 1163, 53, 1_3672, 1857, 312, 8, 5_3283, 18_2396, 8, 1_8566, 16, 3_6733, 4101, 8, 230, 24_4017, 12_2553, 7, 15, 13_2597, 4, 293, 1_2511, 7610, 4, 3414, 13_2597, 9, 4, 3_2361, 362, 4, 734, 2_8512, 3_2569, 18, 4, 3_2361, 2_6096, 1_4982, 73, 1_8715, 2_1433, 23_5261, 15, 492, 1_2427, 16, 53, 1_8715, 2_1433, 6_5454, 15, 2_3659, 563, 16, 278, 597, 2843, 595, 7931, 18_2396, 6_4186, 22, 886, 595, 13_2981, 53, 2_5540, 3449, 4_3982, 3_9901, 5951, 878, 330, 4, 2_7694, 8_0269, 312, 53, 6517, 1_1780, 611, 2_0408, 5], [2, 6, 13_2597, 67, 4_2897, 33, 592, 8, 16_3729, 2_5540, 361, 13_6997, 10_9514, 17_3230, 7, 501, 60, 10_2913, 196, 5631, 235, 6_3243, 473, 6, 23_1757, 74, 5277, 7905, 53, 3095, 3_7317, 22, 454, 18_3874, 5], [2, 268, 3_1298, 4_6530, 6, 13_2935, 4_3831, 7, 597, 32, 24, 3688, 9865, 5]],
										    """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
										}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=lowerCAmelCase						,						model_name="""facebook/xglm-564M"""						,						padding=lowerCAmelCase						,						)





