"""simple docstring"""







import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class       _lowercase		( lowerCamelCase_   ,   unittest.TestCase	):
				lowerCamelCase__							=							RealmTokenizer
				lowerCamelCase__							=							RealmTokenizerFast
				lowerCamelCase__							=							True
				lowerCamelCase__							=							True
				lowerCamelCase__							=							filter_non_english

				def 							A			(  self							:     Tuple  ):


										'''simple docstring'''
										super().setUp()

										UpperCAmelCase__       						=		[
										    '[UNK]',
										    '[CLS]',
										    '[SEP]',
										    '[PAD]',
										    '[MASK]',
										    'want',
										    '##want',
										    '##ed',
										    'wa',
										    'un',
										    'runn',
										    '##ing',
										    ',',
										    'low',
										    'lowest',
										]
										UpperCAmelCase__       						=		os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES["""vocab_file"""]  )
										with open(self.vocab_file							,     """w"""							,     encoding="""utf-8"""  ) as vocab_writer:
																vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]  )  )

				def 							A			(  self							:     str							,     _lowercase							:     Any  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		'UNwant\u00E9d,running'
										UpperCAmelCase__       						=		'unwanted, running'
										return input_text, output_text

				def 							A			(  self							:     Tuple  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		self.tokenizer_class(self.vocab_file  )

										UpperCAmelCase__       						=		tokenizer.tokenize("""UNwant\u00E9d,running"""  )
										self.assertListEqual(snake_case_							,     ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]  )
										self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_  )							,     [9, 6, 7, 1_2, 1_0, 1_1]  )

				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''

										if not self.test_rust_tokenizer:
																return

										UpperCAmelCase__       						=		self.get_tokenizer()
										UpperCAmelCase__       						=		self.get_rust_tokenizer()

										UpperCAmelCase__       						=		'UNwant\u00E9d,running'

										UpperCAmelCase__       						=		tokenizer.tokenize(snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.tokenize(snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

										UpperCAmelCase__       						=		tokenizer.encode(snake_case_							,     add_special_tokens=snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.encode(snake_case_							,     add_special_tokens=snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

										UpperCAmelCase__       						=		self.get_rust_tokenizer()
										UpperCAmelCase__       						=		tokenizer.encode(snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.encode(snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

										# With lower casing
										UpperCAmelCase__       						=		self.get_tokenizer(do_lower_case=snake_case_  )
										UpperCAmelCase__       						=		self.get_rust_tokenizer(do_lower_case=snake_case_  )

										UpperCAmelCase__       						=		'UNwant\u00E9d,running'

										UpperCAmelCase__       						=		tokenizer.tokenize(snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.tokenize(snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

										UpperCAmelCase__       						=		tokenizer.encode(snake_case_							,     add_special_tokens=snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.encode(snake_case_							,     add_special_tokens=snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

										UpperCAmelCase__       						=		self.get_rust_tokenizer()
										UpperCAmelCase__       						=		tokenizer.encode(snake_case_  )
										UpperCAmelCase__       						=		rust_tokenizer.encode(snake_case_  )
										self.assertListEqual(snake_case_							,     snake_case_  )

				def 							A			(  self							:     List[Any]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer()

										self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""  )							,     ["""ah""", """\u535A""", """\u63A8""", """zz"""]  )

				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """  )							,     ["""hello""", """!""", """how""", """are""", """you""", """?"""]  )
										self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""  )							,     ["""hello"""]  )

				def 							A			(  self							:     List[Any]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_							,     strip_accents=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )							,     ["""hällo""", """!""", """how""", """are""", """you""", """?"""]  )
										self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""  )							,     ["""h\u00E9llo"""]  )

				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_							,     strip_accents=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )							,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]  )
										self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""  )							,     ["""hello"""]  )

				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )							,     ["""hallo""", """!""", """how""", """are""", """you""", """?"""]  )
										self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""  )							,     ["""hello"""]  )

				def 							A			(  self							:     Union[str, Any]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """  )							,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )

				def 							A			(  self							:     Tuple  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_							,     strip_accents=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )							,     ["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )

				def 							A			(  self							:     Dict  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_							,     strip_accents=snake_case_  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )							,     ["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )

				def 							A			(  self							:     List[Any]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		BasicTokenizer(do_lower_case=snake_case_							,     never_split=["""[UNK]"""]  )

										self.assertListEqual(
										    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""  )							,     ["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]  )

				def 							A			(  self							:     Tuple  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

										UpperCAmelCase__       						=		{}
										for i, token in enumerate(snake_case_  ):
																UpperCAmelCase__       						=		i
										UpperCAmelCase__       						=		WordpieceTokenizer(vocab=snake_case_							,     unk_token="""[UNK]"""  )

										self.assertListEqual(tokenizer.tokenize(""""""  )							,     []  )

										self.assertListEqual(tokenizer.tokenize("""unwanted running"""  )							,     ["""un""", """##want""", """##ed""", """runn""", """##ing"""]  )

										self.assertListEqual(tokenizer.tokenize("""unwantedX running"""  )							,     ["""[UNK]""", """runn""", """##ing"""]  )

				def 							A			(  self							:     Optional[int]  ):


										'''simple docstring'''
										self.assertTrue(_is_whitespace(""" """  )  )
										self.assertTrue(_is_whitespace("""\t"""  )  )
										self.assertTrue(_is_whitespace("""\r"""  )  )
										self.assertTrue(_is_whitespace("""\n"""  )  )
										self.assertTrue(_is_whitespace("""\u00A0"""  )  )

										self.assertFalse(_is_whitespace("""A"""  )  )
										self.assertFalse(_is_whitespace("""-"""  )  )

				def 							A			(  self							:     Union[str, Any]  ):


										'''simple docstring'''
										self.assertTrue(_is_control("""\u0005"""  )  )

										self.assertFalse(_is_control("""A"""  )  )
										self.assertFalse(_is_control(""" """  )  )
										self.assertFalse(_is_control("""\t"""  )  )
										self.assertFalse(_is_control("""\r"""  )  )

				def 							A			(  self							:     Tuple  ):


										'''simple docstring'''
										self.assertTrue(_is_punctuation("""-"""  )  )
										self.assertTrue(_is_punctuation("""$"""  )  )
										self.assertTrue(_is_punctuation("""`"""  )  )
										self.assertTrue(_is_punctuation("""."""  )  )

										self.assertFalse(_is_punctuation("""A"""  )  )
										self.assertFalse(_is_punctuation(""" """  )  )

				def 							A			(  self							:     Dict  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		self.get_tokenizer()

										# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
										self.assertListEqual([tokenizer.tokenize(snake_case_  ) for t in ["""Test""", """\xad""", """test"""]]							,     [["""[UNK]"""], [], ["""[UNK]"""]]  )

										if self.test_rust_tokenizer:
																UpperCAmelCase__       						=		self.get_rust_tokenizer()
																self.assertListEqual(
																    [rust_tokenizer.tokenize(snake_case_  ) for t in ["""Test""", """\xad""", """test"""]]							,     [["""[UNK]"""], [], ["""[UNK]"""]]  )

				@slow
				def 							A			(  self							:     List[Any]  ):


										'''simple docstring'''
										UpperCAmelCase__       						=		self.tokenizer_class.from_pretrained("""bert-base-uncased"""  )

										UpperCAmelCase__       						=		tokenizer.encode("""sequence builders"""							,     add_special_tokens=snake_case_  )
										UpperCAmelCase__       						=		tokenizer.encode("""multi-sequence build"""							,     add_special_tokens=snake_case_  )

										UpperCAmelCase__       						=		tokenizer.build_inputs_with_special_tokens(snake_case_  )
										UpperCAmelCase__       						=		tokenizer.build_inputs_with_special_tokens(snake_case_							,     snake_case_  )

										assert encoded_sentence == [1_0_1] + text + [1_0_2]
										assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]

				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''

										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
																						UpperCAmelCase__       						=		self.rust_tokenizer_class.from_pretrained(snake_case_							,     **snake_case_  )

																						UpperCAmelCase__       						=		f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
																						UpperCAmelCase__       						=		tokenizer_r.encode_plus(
																						    snake_case_							,     return_attention_mask=snake_case_							,     return_token_type_ids=snake_case_							,     return_offsets_mapping=snake_case_							,     add_special_tokens=snake_case_							,     )

																						UpperCAmelCase__       						=		tokenizer_r.do_lower_case if hasattr(snake_case_							,     """do_lower_case"""  ) else False
																						UpperCAmelCase__       						=		(
																						    [
																						        ((0, 0), tokenizer_r.cls_token),
																						        ((0, 1), 'A'),
																						        ((1, 2), ','),
																						        ((3, 5), 'na'),
																						        ((5, 6), '##ï'),
																						        ((6, 8), '##ve'),
																						        ((9, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), 'Allen'),
																						        ((2_1, 2_3), '##NL'),
																						        ((2_3, 2_4), '##P'),
																						        ((2_5, 3_3), 'sentence'),
																						        ((3_3, 3_4), '.'),
																						        ((0, 0), tokenizer_r.sep_token),
																						    ]
																						    if not do_lower_case
																						    else [
																						        ((0, 0), tokenizer_r.cls_token),
																						        ((0, 1), 'a'),
																						        ((1, 2), ','),
																						        ((3, 8), 'naive'),
																						        ((9, 1_5), tokenizer_r.mask_token),
																						        ((1_6, 2_1), 'allen'),
																						        ((2_1, 2_3), '##nl'),
																						        ((2_3, 2_4), '##p'),
																						        ((2_5, 3_3), 'sentence'),
																						        ((3_3, 3_4), '.'),
																						        ((0, 0), tokenizer_r.sep_token),
																						    ]
																						)

																						self.assertEqual(
																						    [e[1] for e in expected_results]							,     tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]  )  )
																						self.assertEqual([e[0] for e in expected_results]							,     tokens["""offset_mapping"""]  )

				@slow
				def 							A			(  self							:     List[str]  ):


										'''simple docstring'''

										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
																						UpperCAmelCase__       						=		self.rust_tokenizer_class.from_pretrained(snake_case_							,     **snake_case_  )
																						UpperCAmelCase__       						=		self.tokenizer_class.from_pretrained(snake_case_							,     **snake_case_  )
																						UpperCAmelCase__       						=		[['Hello world!', 'Nice to meet you!'], ['The cute cat.', 'The adorable dog.']]

																						UpperCAmelCase__       						=		tokenizer_r.batch_encode_candidates(snake_case_							,     max_length=1_0							,     return_tensors="""np"""  )
																						UpperCAmelCase__       						=		tokenizer_p.batch_encode_candidates(snake_case_							,     max_length=1_0							,     return_tensors="""np"""  )

																						UpperCAmelCase__       						=		(2, 2, 1_0)

																						self.assertEqual(encoded_sentence_r["""input_ids"""].shape							,     snake_case_  )
																						self.assertEqual(encoded_sentence_r["""attention_mask"""].shape							,     snake_case_  )
																						self.assertEqual(encoded_sentence_r["""token_type_ids"""].shape							,     snake_case_  )

																						self.assertEqual(encoded_sentence_p["""input_ids"""].shape							,     snake_case_  )
																						self.assertEqual(encoded_sentence_p["""attention_mask"""].shape							,     snake_case_  )
																						self.assertEqual(encoded_sentence_p["""token_type_ids"""].shape							,     snake_case_  )


'''simple docstring'''


# This Python program implements an optimal binary search tree (abbreviated BST)
# building dynamic programming algorithm that delivers O(n^2) performance.
#
# The goal of the optimal BST problem is to build a low-cost BST for a
# given set of nodes, each with its own key and frequency. The frequency
# of the node is defined as how many time the node is being searched.
# The search cost of binary search tree is given by this formula:
#
# cost(1, n) = sum{i = 1 to n}((depth(node_i) + 1) * node_i_freq)
#
# where n is number of nodes in the BST. The characteristic of low-cost
# BSTs is having a faster overall search time than other implementations.
# The reason for their fast search time is that the nodes with high
# frequencies will be placed near the root of the tree while the nodes
# with low frequencies will be placed near the leaves of the tree thus
# reducing search time in the most frequent instances.
import sys
from random import randint






class 	__SCREAMING_SNAKE_CASE		:







  '''simple docstring'''






  def __init__(					self ,						snake_case_ ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  Union[str, Any]  = key
       UpperCAmelCase_				:  Tuple  = freq






  def __str__(					self		):




       '''simple docstring'''

       return F'''Node(key={self.key}, freq={self.freq})'''







def    _lowerCamelCase       ( lowerCamelCase_   :				str      ,	lowerCamelCase_   :				List[str]      ,	lowerCamelCase_   :				Dict      ,	lowerCamelCase_   :				List[Any]      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				Optional[int]  ):



     """simple docstring"""





     if i > j or i < 0 or j > len(lowerCamelCase_  ) - 1:
          return

     UpperCAmelCase_				:  Optional[int]  = root[i][j]
     if parent == -1:  # root does not have a parent
          print(F'''{key[node]} is the root of the binary search tree.'''  )
     elif is_left:
          print(F'''{key[node]} is the left child of key {parent}.'''  )
     else:
          print(F'''{key[node]} is the right child of key {parent}.'''  )

     print_binary_search_tree(lowerCamelCase_      ,	lowerCamelCase_      ,	lowerCamelCase_      ,	node - 1      ,	key[node]      ,	lowerCamelCase_  )
     print_binary_search_tree(lowerCamelCase_      ,	lowerCamelCase_      ,	node + 1      ,	lowerCamelCase_      ,	key[node]      ,	lowerCamelCase_  )


def    _lowerCamelCase       ( lowerCamelCase_   :				Optional[int]  ):



     """simple docstring"""





     nodes.sort(key=lambda lowerCamelCase_  : node.key  )

     UpperCAmelCase_				:  int  = len(lowerCamelCase_  )

     UpperCAmelCase_				:  Dict  = [nodes[i].key for i in range(lowerCamelCase_  )]
     UpperCAmelCase_				:  Any  = [nodes[i].freq for i in range(lowerCamelCase_  )]

     # This 2D array stores the overall tree cost (which's as minimized as possible);
     # for a single key, cost is equal to frequency of the key.
     UpperCAmelCase_				:  Optional[Any]  = [[freqs[i] if i == j else 0 for j in range(lowerCamelCase_  )] for i in range(lowerCamelCase_  )]
     # sum[i][j] stores the sum of key frequencies between i and j inclusive in nodes
     # array
     UpperCAmelCase_				:  Any  = [[freqs[i] if i == j else 0 for j in range(lowerCamelCase_  )] for i in range(lowerCamelCase_  )]
     # stores tree roots that will be used later for constructing binary search tree
     UpperCAmelCase_				:  Optional[int]  = [[i if i == j else 0 for j in range(lowerCamelCase_  )] for i in range(lowerCamelCase_  )]

     for interval_length in range(2      ,	n + 1  ):
          for i in range(n - interval_length + 1  ):
               UpperCAmelCase_				:  Optional[Any]  = i + interval_length - 1

               UpperCAmelCase_				:  Tuple  = sys.maxsize  # set the value to "infinity"
               UpperCAmelCase_				:  Any  = total[i][j - 1] + freqs[j]

               # Apply Knuth's optimization
               # Loop without optimization: for r in range(i, j + 1):
               for r in range(root[i][j - 1]      ,	root[i + 1][j] + 1  ):  # r is a temporal root
                    UpperCAmelCase_				:  str  = dp[i][r - 1] if r != i else 0  # optimal cost for left subtree
                    UpperCAmelCase_				:  Optional[int]  = dp[r + 1][j] if r != j else 0  # optimal cost for right subtree
                    UpperCAmelCase_				:  Optional[int]  = left + total[i][j] + right

                    if dp[i][j] > cost:
                         UpperCAmelCase_				:  Dict  = cost
                         UpperCAmelCase_				:  Tuple  = r

     print('Binary search tree nodes:'  )
     for node in nodes:
          print(lowerCamelCase_  )

     print(F'''\nThe cost of optimal BST for given tree nodes is {dp[0][n - 1]}.'''  )
     print_binary_search_tree(lowerCamelCase_      ,	lowerCamelCase_      ,	0      ,	n - 1      ,	-1      ,	lowerCamelCase_  )


def    _lowerCamelCase       ( ):



     """simple docstring"""





     UpperCAmelCase_				:  Any  = [Node(lowerCamelCase_      ,	randint(1      ,	50  )  ) for i in range(10      ,	0      ,	-1  )]
     find_optimal_binary_search_tree(lowerCamelCase_  )


if __name__ == "__main__":
 main()






