






import math
import sys





class __lowerCamelCase			:





							"""simple docstring"""






							def __init__(							self   ):
													"""simple docstring"""







													_UpperCAmelCase     =      0
													_UpperCAmelCase     =      []
													_UpperCAmelCase     =      {}  # To store the pos of node in array

							def 	UpperCamelCase   (							self   ):
													"""simple docstring"""







													return self.cur_size == 0

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      self.left(UpperCAmelCase   )
													_UpperCAmelCase     =      self.right(UpperCAmelCase   )
													if lc < self.cur_size and self.array(UpperCAmelCase   )[0] < self.array(UpperCAmelCase   )[0]:
																			_UpperCAmelCase     =      lc
													else:
																			_UpperCAmelCase     =      idx
													if rc < self.cur_size and self.array(UpperCAmelCase   )[0] < self.array(UpperCAmelCase   )[0]:
																			_UpperCAmelCase     =      rc
													if smallest != idx:
																			self.swap(UpperCAmelCase	,   UpperCAmelCase   )
																			self.min_heapify(UpperCAmelCase   )

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      self.cur_size
													self.cur_size += 1
													self.array.append((sys.maxsize, tup[1])   )
													self.decrease_key((sys.maxsize, tup[1])	,   tup[0]   )

							def 	UpperCamelCase   (							self   ):
													"""simple docstring"""







													_UpperCAmelCase     =      self.array[0][1]
													_UpperCAmelCase     =      self.array[self.cur_size - 1]
													self.cur_size -= 1
													self.min_heapify(1   )
													del self.pos[min_node]
													return min_node

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													return 2 * i + 1

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													return 2 * i + 2

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													return math.floor(i / 2   )

							def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      j
													_UpperCAmelCase     =      i
													_UpperCAmelCase     =      self.array[i]
													_UpperCAmelCase     =      self.array[j]
													_UpperCAmelCase     =      temp

							def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      self.pos[tup[1]]
													# assuming the new_d is atmost old_d
													_UpperCAmelCase     =      (new_d, tup[1])
													while idx > 0 and self.array[self.par(UpperCAmelCase   )][0] > self.array[idx][0]:
																			self.swap(UpperCAmelCase	,   self.par(UpperCAmelCase   )   )
																			_UpperCAmelCase     =      self.par(UpperCAmelCase   )





class __lowerCamelCase			:





							"""simple docstring"""






							def __init__(							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      {}  # To store graph: u -> (v,w)
													_UpperCAmelCase     =      num  # Number of nodes in graph
													# To store the distance from source vertex
													_UpperCAmelCase     =      [0] * self.num_nodes
													_UpperCAmelCase     =      [-1] * self.num_nodes  # To store the path

							def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase	,   UpperCAmelCase   ):
													"""simple docstring"""







													if u in self.adjList:
																			self.adjList[u].append((v, w)   )
													else:
																			_UpperCAmelCase     =      [(v, w)]

													# Assuming undirected graph
													if v in self.adjList:
																			self.adjList[v].append((u, w)   )
													else:
																			_UpperCAmelCase     =      [(u, w)]

							def 	UpperCamelCase   (							self   ):
													"""simple docstring"""







													for u in self.adjList:
																			print(UpperCAmelCase	,   '->'	,   ' -> '.join(str(F"""{v}({w})"""   ) for v, w in self.adjList[u]   )   )

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      [-1] * self.num_nodes
													# src is the source node
													_UpperCAmelCase     =      0
													_UpperCAmelCase     =      PriorityQueue()
													q.insert((0, src)   )  # (dist from src, node)
													for u in self.adjList:
																			if u != src:
																									_UpperCAmelCase     =      sys.maxsize  # Infinity
																									_UpperCAmelCase     =      -1

													while not q.is_empty():
																			_UpperCAmelCase     =      q.extract_min()  # Returns node with the min dist from source
																			# Update the distance of all the neighbours of u and
																			# if their prev dist was INFINITY then push them in Q
																			for v, w in self.adjList[u]:
																									_UpperCAmelCase     =      self.dist[u] + w
																									if self.dist[v] > new_dist:
																															if self.dist[v] == sys.maxsize:
																																					q.insert((new_dist, v)   )
																															else:
																																					q.decrease_key((self.dist[v], v)	,   UpperCAmelCase   )
																															_UpperCAmelCase     =      new_dist
																															_UpperCAmelCase     =      u

																									# Show the shortest distances from src
													self.show_distances(UpperCAmelCase   )

							def 	UpperCamelCase   (							self	,   UpperCAmelCase   ):
													"""simple docstring"""







													print(F"""Distance from node: {src}"""   )
													for u in range(self.num_nodes   ):
																			print(F"""Node {u} has distance: {self.dist[u]}"""   )

							def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase   ):
													"""simple docstring"""







													_UpperCAmelCase     =      []
													_UpperCAmelCase     =      0
													_UpperCAmelCase     =      dest
													# Backtracking from dest to src
													while self.par[temp] != -1:
																			path.append(UpperCAmelCase   )
																			if temp != src:
																									for v, w in self.adjList[temp]:
																															if v == self.par[temp]:
																																					cost += w
																																					break
																			_UpperCAmelCase     =      self.par[temp]
													path.append(UpperCAmelCase   )
													path.reverse()

													print(F"""----Path to reach {dest} from {src}----"""   )
													for u in path:
																			print(F"""{u}"""	,   end=' '   )
																			if u != dest:
																									print('-> '	,   end=''   )

													print('\nTotal cost of path: '	,   UpperCAmelCase   )


if __name__ == "__main__":
		_a				     =  Graph(9)
		graph.add_edge(0, 1, 4)
		graph.add_edge(0, 7, 8)
		graph.add_edge(1, 2, 8)
		graph.add_edge(1, 7, 11)
		graph.add_edge(2, 3, 7)
		graph.add_edge(2, 8, 2)
		graph.add_edge(2, 5, 4)
		graph.add_edge(3, 4, 9)
		graph.add_edge(3, 5, 14)
		graph.add_edge(4, 5, 10)
		graph.add_edge(5, 6, 2)
		graph.add_edge(6, 7, 1)
		graph.add_edge(6, 8, 6)
		graph.add_edge(7, 8, 7)
		graph.show_graph()
		graph.dijkstra(0)
		graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21








import unittest

import pytest

from transformers import (
    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
    MBartaaTokenizerFast,
    MBartConfig,
    MBartForConditionalGeneration,
    TranslationPipeline,
    pipeline,
)
from transformers.testing_utils import is_pipeline_test, require_tf, require_torch, slow

from .test_pipelines_common import ANY





@is_pipeline_test
class __lowerCamelCase			(				unittest.TestCase):





	"""simple docstring"""






	UpperCamelCase__								=				MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
	UpperCamelCase__								=				TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase	,   UpperCAmelCase   ):
							"""simple docstring"""







							if isinstance(model.config	,   UpperCAmelCase   ):
													_UpperCAmelCase ,			_UpperCAmelCase     =      list(tokenizer.lang_code_to_id.keys()   )[:2]
													_UpperCAmelCase     =      TranslationPipeline(model=UpperCAmelCase	,   tokenizer=UpperCAmelCase	,   src_lang=UpperCAmelCase	,   tgt_lang=UpperCAmelCase   )
							else:
													_UpperCAmelCase     =      TranslationPipeline(model=UpperCAmelCase	,   tokenizer=UpperCAmelCase   )
							return translator, ["Some string", "Some other text"]

	def 	UpperCamelCase   (							self	,   UpperCAmelCase	,   UpperCAmelCase   ):
							"""simple docstring"""







							_UpperCAmelCase     =      translator('Some string'   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': ANY(UpperCAmelCase   )}]   )

							_UpperCAmelCase     =      translator(['Some string']   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': ANY(UpperCAmelCase   )}]   )

							_UpperCAmelCase     =      translator(['Some string', 'other string']   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': ANY(UpperCAmelCase   )}, {'translation_text': ANY(UpperCAmelCase   )}]   )

	@require_torch
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      pipeline('translation_en_to_ro'	,   model='patrickvonplaten/t5-tiny-random'	,   framework='pt'   )
							_UpperCAmelCase     =      translator('This is a test string'	,   max_length=20   )
							self.assertEqual(
							    UpperCAmelCase	,   [
							        {
							            'translation_text': (
							                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
							                ' Beide Beide'
							            )
							        }
							    ]	,   )

	@require_tf
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      pipeline('translation_en_to_ro'	,   model='patrickvonplaten/t5-tiny-random'	,   framework='tf'   )
							_UpperCAmelCase     =      translator('This is a test string'	,   max_length=20   )
							self.assertEqual(
							    UpperCAmelCase	,   [
							        {
							            'translation_text': (
							                'Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide Beide'
							                ' Beide Beide'
							            )
							        }
							    ]	,   )

	@require_torch
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      pipeline('translation_en_to_de'	,   model='patrickvonplaten/t5-tiny-random'	,   framework='pt'   )
							_UpperCAmelCase     =      translator('This is a test string'	,   max_length=20   )
							self.assertEqual(
							    UpperCAmelCase	,   [
							        {
							            'translation_text': (
							                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
							                ' urine urine urine urine urine urine urine'
							            )
							        }
							    ]	,   )

	@require_tf
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      pipeline('translation_en_to_de'	,   model='patrickvonplaten/t5-tiny-random'	,   framework='tf'   )
							_UpperCAmelCase     =      translator('This is a test string'	,   max_length=20   )
							self.assertEqual(
							    UpperCAmelCase	,   [
							        {
							            'translation_text': (
							                'monoton monoton monoton monoton monoton monoton monoton monoton monoton monoton urine urine'
							                ' urine urine urine urine urine urine urine'
							            )
							        }
							    ]	,   )





class __lowerCamelCase			(				unittest.TestCase):





	"""simple docstring"""






	@require_torch
	@slow
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							with self.assertRaises(UpperCAmelCase   ):
													pipeline(task='translation_cn_to_ar'   )

							# but we do for this one
							_UpperCAmelCase     =      pipeline(task='translation_en_to_de'   )
							self.assertEqual(translator._preprocess_params['src_lang']	,   'en'   )
							self.assertEqual(translator._preprocess_params['tgt_lang']	,   'de'   )

	@require_torch
	@slow
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      MBartForConditionalGeneration.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'   )
							_UpperCAmelCase     =      MBartaaTokenizerFast.from_pretrained('facebook/mbart-large-50-many-to-many-mmt'   )

							_UpperCAmelCase     =      pipeline(task='translation'	,   model=UpperCAmelCase	,   tokenizer=UpperCAmelCase   )
							# Missing src_lang, tgt_lang
							with self.assertRaises(UpperCAmelCase   ):
													translator('This is a test'   )

							_UpperCAmelCase     =      translator('This is a test'	,   src_lang='en_XX'	,   tgt_lang='ar_AR'   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': 'هذا إختبار'}]   )

							_UpperCAmelCase     =      translator('This is a test'	,   src_lang='en_XX'	,   tgt_lang='hi_IN'   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': 'यह एक परीक्षण है'}]   )

							# src_lang, tgt_lang can be defined at pipeline call time
							_UpperCAmelCase     =      pipeline(task='translation'	,   model=UpperCAmelCase	,   tokenizer=UpperCAmelCase	,   src_lang='en_XX'	,   tgt_lang='ar_AR'   )
							_UpperCAmelCase     =      translator('This is a test'   )
							self.assertEqual(UpperCAmelCase	,   [{'translation_text': 'هذا إختبار'}]   )

	@require_torch
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      'patrickvonplaten/t5-tiny-random'
							_UpperCAmelCase     =      pipeline(task='translation_cn_to_ar'	,   model=UpperCAmelCase   )
							self.assertEqual(translator._preprocess_params['src_lang']	,   'cn'   )
							self.assertEqual(translator._preprocess_params['tgt_lang']	,   'ar'   )

	@require_torch
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							_UpperCAmelCase     =      'patrickvonplaten/t5-tiny-random'
							with pytest.warns(UpperCAmelCase	,   match=R'.*translation_en_to_de.*'   ):
													_UpperCAmelCase     =      pipeline(task='translation'	,   model=UpperCAmelCase   )
							self.assertEqual(translator.task	,   'translation_en_to_de'   )
							self.assertEqual(translator._preprocess_params['src_lang']	,   'en'   )
							self.assertEqual(translator._preprocess_params['tgt_lang']	,   'de'   )

	@require_torch
	def 	UpperCamelCase   (							self   ):
							"""simple docstring"""







							with self.assertRaises(UpperCAmelCase   ):
													pipeline(task='translation'   )
