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




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = 0
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = 0
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = {}
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       if vertex not in self.adjacency:
         _SCREAMING_SNAKE_CASE   :				Any							    = {}
         self.num_vertices += 1
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__  ,     snake_case__				):




       """simple docstring"""


       self.add_vertex(snake_case__				)
       self.add_vertex(snake_case__				)

       if head == tail:
         return

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = weight
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = weight
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = self.get_edges()
       for edge in edges:
         _SCREAMING_SNAKE_CASE   :				str							    = edge
         edges.remove((tail, head, weight)				)
       for i in range(len(snake_case__				)				):
         _SCREAMING_SNAKE_CASE   :				str							    = list(edges[i]				)

       edges.sort(key=lambda snake_case__				: e[2]				)
       for i in range(len(snake_case__				) - 1				):
         if edges[i][2] >= edges[i + 1][2]:
           _SCREAMING_SNAKE_CASE   :				List[Any]							    = edges[i][2] + 1
       for edge in edges:
         _SCREAMING_SNAKE_CASE   :				List[Any]							    = edge
         _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = weight
         _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = weight
     def __str__(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = ""
       for tail in self.adjacency:
         for head in self.adjacency[tail]:
           _SCREAMING_SNAKE_CASE   :				List[str]							    = self.adjacency[head][tail]
           string += F'''{head} -> {tail} == {weight}\n'''
       return string.rstrip("\n"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = []
       for tail in self.adjacency:
         for head in self.adjacency[tail]:
           output.append((tail, head, self.adjacency[head][tail])				)
       return output
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       return self.adjacency.keys()
     @staticmethod
     def 				__SCREAMING_SNAKE_CASE							(     snake_case__=None  ,     snake_case__=None				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Graph()
       if vertices is None:
         _SCREAMING_SNAKE_CASE   :				List[Any]							    = []
       if edges is None:
         _SCREAMING_SNAKE_CASE   :				str							    = []
       for vertex in vertices:
         g.add_vertex(snake_case__				)
       for edge in edges:
         g.add_edge(*snake_case__				)
       return g
     class 			UpperCamelCase      :
          def __init__(     self				):




            """simple docstring"""


            _SCREAMING_SNAKE_CASE   :				List[str]							    = {}
            _SCREAMING_SNAKE_CASE   :				Tuple							    = {}
          def __len__(     self				):




            """simple docstring"""


            return len(self.parent				)
          def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




            """simple docstring"""


            if item in self.parent:
              return self.find(snake_case__				)

            _SCREAMING_SNAKE_CASE   :				str							    = item
            _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = 0
            return item
          def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




            """simple docstring"""


            if item not in self.parent:
              return self.make_set(snake_case__				)
            if item != self.parent[item]:
              _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = self.find(self.parent[item]				)
            return self.parent[item]




          def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__  ,     snake_case__				):




            """simple docstring"""


            _SCREAMING_SNAKE_CASE   :				int							    = self.find(snake_case__				)
            _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = self.find(snake_case__				)

            if roota == roota:
              return roota

            if self.rank[roota] > self.rank[roota]:
              _SCREAMING_SNAKE_CASE   :				Dict							    = roota
              return roota

            if self.rank[roota] < self.rank[roota]:
              _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = roota
              return roota

            if self.rank[roota] == self.rank[roota]:
              self.rank[roota] += 1
              _SCREAMING_SNAKE_CASE   :				int							    = roota
              return roota
            return None
     @staticmethod
     def 				__SCREAMING_SNAKE_CASE							(     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = graph.num_vertices

       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Graph.UnionFind()
       _SCREAMING_SNAKE_CASE   :				Any							    = []
       while num_components > 1:
         _SCREAMING_SNAKE_CASE   :				List[str]							    = {}
         for vertex in graph.get_vertices():
           _SCREAMING_SNAKE_CASE   :				List[str]							    = -1

         _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = graph.get_edges()
         for edge in edges:
           _SCREAMING_SNAKE_CASE   :				List[Any]							    = edge
           edges.remove((tail, head, weight)				)
         for edge in edges:
           _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = edge
           _SCREAMING_SNAKE_CASE   :				List[Any]							    = union_find.find(snake_case__				)
           _SCREAMING_SNAKE_CASE   :				int							    = union_find.find(snake_case__				)
           if seta != seta:
             if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
               _SCREAMING_SNAKE_CASE   :				List[Any]							    = [head, tail, weight]

             if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
               _SCREAMING_SNAKE_CASE   :				List[str]							    = [head, tail, weight]
         for vertex in cheap_edge:
           if cheap_edge[vertex] != -1:
             _SCREAMING_SNAKE_CASE   :				List[Any]							    = cheap_edge[vertex]
             if union_find.find(snake_case__				) != union_find.find(snake_case__				):
               union_find.union(snake_case__  ,     snake_case__				)
               mst_edges.append(cheap_edge[vertex]				)
               _SCREAMING_SNAKE_CASE   :				str							    = num_components - 1
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Graph.build(edges=snake_case__				)
       return mst

"""simple docstring"""
import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE      ,       unittest.TestCase  ):
     A__      =			None
     A__      =			BloomTokenizerFast
     A__      =			BloomTokenizerFast
     A__      =			True
     A__      =			False
     A__      =			"""tokenizer_file"""
     A__      =			{"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       super().setUp()
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = BloomTokenizerFast.from_pretrained("bigscience/tokenizer"				)
       tokenizer.save_pretrained(self.tmpdirname				)
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     **snake_case__				):




       """simple docstring"""


       kwargs.update(self.special_tokens_map				)
       return BloomTokenizerFast.from_pretrained(self.tmpdirname  ,     **snake_case__				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = self.get_rust_tokenizer()

       _SCREAMING_SNAKE_CASE   :				Tuple							    = ["The quick brown fox</s>", "jumps over the lazy dog</s>"]
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = [[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = tokenizer.batch_encode_plus(snake_case__				)["input_ids"]
       self.assertListEqual(snake_case__  ,     snake_case__				)

       _SCREAMING_SNAKE_CASE   :				Tuple							    = tokenizer.batch_decode(snake_case__				)
       self.assertListEqual(snake_case__  ,     snake_case__				)
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__=6				):




       """simple docstring"""


       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
           _SCREAMING_SNAKE_CASE   :				Tuple							    = self.rust_tokenizer_class.from_pretrained(snake_case__  ,     **snake_case__				)
           # tokenizer_r.pad_token = None # Hotfixing padding = None
           # Simple input
           _SCREAMING_SNAKE_CASE   :				str							    = "This is a simple input"
           _SCREAMING_SNAKE_CASE   :				Tuple							    = ["This is a simple input 1", "This is a simple input 2"]
           _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = ("This is a simple input", "This is a pair")
           _SCREAMING_SNAKE_CASE   :				List[str]							    = [
               ("This is a simple input 1", "This is a simple input 2"),
               ("This is a simple pair 1", "This is a simple pair 2"),
           ]

           # Simple input tests
           try:
             tokenizer_r.encode(snake_case__  ,     max_length=snake_case__				)
             tokenizer_r.encode_plus(snake_case__  ,     max_length=snake_case__				)

             tokenizer_r.batch_encode_plus(snake_case__  ,     max_length=snake_case__				)
             tokenizer_r.encode(snake_case__  ,     max_length=snake_case__				)
             tokenizer_r.batch_encode_plus(snake_case__  ,     max_length=snake_case__				)
           except ValueError:
             self.fail("Bloom Tokenizer should be able to deal with padding"				)

           _SCREAMING_SNAKE_CASE   :				Tuple							    = None  # Hotfixing padding = None
           self.assertRaises(snake_case__  ,     tokenizer_r.encode  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"				)

           # Simple input
           self.assertRaises(snake_case__  ,     tokenizer_r.encode_plus  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"				)

           # Simple input
           self.assertRaises(
               snake_case__  ,     tokenizer_r.batch_encode_plus  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"  ,     )

           # Pair input
           self.assertRaises(snake_case__  ,     tokenizer_r.encode  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"				)

           # Pair input
           self.assertRaises(snake_case__  ,     tokenizer_r.encode_plus  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"				)

           # Pair input
           self.assertRaises(
               snake_case__  ,     tokenizer_r.batch_encode_plus  ,     snake_case__  ,     max_length=snake_case__  ,     padding="max_length"  ,     )
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = self.get_rust_tokenizer()
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = load_dataset("xnli"  ,     "all_languages"  ,     split="test"  ,     streaming=snake_case__				)

       _SCREAMING_SNAKE_CASE   :				Tuple							    = next(iter(snake_case__				)				)["premise"]  # pick up one data
       _SCREAMING_SNAKE_CASE   :				int							    = list(sample_data.values()				)

       _SCREAMING_SNAKE_CASE   :				List[str]							    = list(map(tokenizer.encode  ,     snake_case__				)				)
       _SCREAMING_SNAKE_CASE   :				int							    = [tokenizer.decode(snake_case__  ,     clean_up_tokenization_spaces=snake_case__				) for x in output_tokens]
       self.assertListEqual(snake_case__  ,     snake_case__				)




     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map				)  ,     1				)
       self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()				)[0]				)  ,     1				)



