


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 			_lowercase (							lowercase__							,  unittest.TestCase):


       """simple docstring"""




       A__											=			RoCBertTokenizer
       A__											=			None
       A__											=			False
       A__											=			True
       A__											=			filter_non_english





       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



             super().setUp()

             lowerCamelCase__		:				Optional[Any]    =  ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
             lowerCamelCase__		:				Union[str, Any]    =  {}
             lowerCamelCase__		:				Tuple    =  {}
             for i, value in enumerate(__lowerCamelCase       ):
                   lowerCamelCase__		:				str    =  i
                   lowerCamelCase__		:				Optional[Any]    =  i
             lowerCamelCase__		:				Optional[int]    =  os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES["vocab_file"]       )
             lowerCamelCase__		:				Any    =  os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES["word_shape_file"]       )
             lowerCamelCase__		:				List[str]    =  os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES["word_pronunciation_file"]       )
             with open(self.vocab_file					,      "w"					,      encoding="utf-8"       ) as vocab_writer:
                   vocab_writer.write("".join([x + "\n" for x in vocab_tokens]       )       )
             with open(self.word_shape_file					,      "w"					,      encoding="utf-8"       ) as word_shape_writer:
                   json.dump(__lowerCamelCase					,      __lowerCamelCase					,      ensure_ascii=__lowerCamelCase       )
             with open(self.word_pronunciation_file					,      "w"					,      encoding="utf-8"       ) as word_pronunciation_writer:
                   json.dump(__lowerCamelCase					,      __lowerCamelCase					,      ensure_ascii=__lowerCamelCase       )





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


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  self.tokenizer_class(self.vocab_file					,      self.word_shape_file					,      self.word_pronunciation_file       )

             lowerCamelCase__		:				Optional[int]    =  tokenizer.tokenize("你好[SEP]你是谁"       )
             self.assertListEqual(__lowerCamelCase					,      ["你", "好", "[SEP]", "你", "是", "谁"]       )
             self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase       )					,      [5, 6, 2, 5, 7, 8]       )
             self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__lowerCamelCase       )					,      [5, 6, 2, 5, 7, 8]       )
             self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__lowerCamelCase       )					,      [5, 6, 2, 5, 7, 8]       )





       def 						lowerCAmelCase     (   self							:			List[str]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  RoCBertBasicTokenizer()

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





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[Any]    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase					,      strip_accents=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				List[Any]    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase					,      strip_accents=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase       )

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





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


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase					,      strip_accents=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase					,      strip_accents=__lowerCamelCase       )

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





       def 						lowerCAmelCase     (   self							:			List[str]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  RoCBertBasicTokenizer(do_lower_case=__lowerCamelCase					,      never_split=["[UNK]"]       )

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





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Union[str, Any]    =  ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

             lowerCamelCase__		:				str    =  {}
             for i, token in enumerate(__lowerCamelCase       ):
                   lowerCamelCase__		:				Tuple    =  i
             lowerCamelCase__		:				Optional[int]    =  RoCBertWordpieceTokenizer(vocab=__lowerCamelCase					,      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 						lowerCAmelCase     (   self							:			str       ):


             '''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 						lowerCAmelCase     (   self							:			List[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 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''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 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  self.get_tokenizer()

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

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





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
                         lowerCamelCase__		:				List[Any]    =  self.rust_tokenizer_class.from_pretrained(__lowerCamelCase					,      **__lowerCamelCase       )

                         lowerCamelCase__		:				Tuple    =  f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                         lowerCamelCase__		:				Optional[Any]    =  tokenizer_r.encode_plus(
                             __lowerCamelCase					,      return_attention_mask=__lowerCamelCase					,      return_token_type_ids=__lowerCamelCase					,      return_offsets_mapping=__lowerCamelCase					,      add_special_tokens=__lowerCamelCase					,      )

                         lowerCamelCase__		:				int    =  tokenizer_r.do_lower_case if hasattr(__lowerCamelCase					,      "do_lower_case"       ) else False
                         lowerCamelCase__		:				Tuple    =  (
                             [
                                 ((0, 0), tokenizer_r.cls_token),
                                 ((0, 1), "A"),
                                 ((1, 2), ","),
                                 ((3, 5), "na"),
                                 ((5, 6), "##ï"),
                                 ((6, 8), "##ve"),
                                 ((9, 15), tokenizer_r.mask_token),
                                 ((16, 21), "Allen"),
                                 ((21, 23), "##NL"),
                                 ((23, 24), "##P"),
                                 ((25, 33), "sentence"),
                                 ((33, 34), "."),
                                 ((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, 15), tokenizer_r.mask_token),
                                 ((16, 21), "allen"),
                                 ((21, 23), "##nl"),
                                 ((23, 24), "##p"),
                                 ((25, 33), "sentence"),
                                 ((33, 34), "."),
                                 ((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"]       )





       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  ["的", "人", "有"]
             lowerCamelCase__		:				Tuple    =  "".join(__lowerCamelCase       )
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
                         lowerCamelCase__		:				Dict    =  True
                         lowerCamelCase__		:				List[Any]    =  self.tokenizer_class.from_pretrained(__lowerCamelCase					,      **__lowerCamelCase       )
                         lowerCamelCase__		:				int    =  self.rust_tokenizer_class.from_pretrained(__lowerCamelCase					,      **__lowerCamelCase       )

                         lowerCamelCase__		:				Optional[int]    =  tokenizer_p.encode(__lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )
                         lowerCamelCase__		:				int    =  tokenizer_r.encode(__lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )

                         lowerCamelCase__		:				Dict    =  tokenizer_r.convert_ids_to_tokens(__lowerCamelCase       )
                         lowerCamelCase__		:				Tuple    =  tokenizer_p.convert_ids_to_tokens(__lowerCamelCase       )

                         # it is expected that each Chinese character is not preceded by "##"
                         self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )
                         self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )

                         lowerCamelCase__		:				Any    =  False
                         lowerCamelCase__		:				Optional[Any]    =  self.rust_tokenizer_class.from_pretrained(__lowerCamelCase					,      **__lowerCamelCase       )
                         lowerCamelCase__		:				Optional[Any]    =  self.tokenizer_class.from_pretrained(__lowerCamelCase					,      **__lowerCamelCase       )

                         lowerCamelCase__		:				Union[str, Any]    =  tokenizer_r.encode(__lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )
                         lowerCamelCase__		:				List[str]    =  tokenizer_p.encode(__lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )

                         lowerCamelCase__		:				int    =  tokenizer_r.convert_ids_to_tokens(__lowerCamelCase       )
                         lowerCamelCase__		:				List[Any]    =  tokenizer_p.convert_ids_to_tokens(__lowerCamelCase       )

                         # it is expected that only the first Chinese character is not preceded by "##".
                         lowerCamelCase__		:				Dict    =  [
                             f"##{token}" if idx != 0 else token for idx, token in enumerate(__lowerCamelCase       )
                         ]
                         self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )
                         self.assertListEqual(__lowerCamelCase					,      __lowerCamelCase       )





       @slow
       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				str    =  self.tokenizer_class(self.vocab_file					,      self.word_shape_file					,      self.word_pronunciation_file       )

             lowerCamelCase__		:				int    =  tokenizer.encode("你好"					,      add_special_tokens=__lowerCamelCase       )
             lowerCamelCase__		:				Dict    =  tokenizer.encode("你是谁"					,      add_special_tokens=__lowerCamelCase       )

             lowerCamelCase__		:				List[Any]    =  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase       )
             lowerCamelCase__		:				str    =  tokenizer.build_inputs_with_special_tokens(__lowerCamelCase					,      __lowerCamelCase       )

             assert encoded_sentence == [1] + text + [2]
             assert encoded_pair == [1] + text + [2] + text_a + [2]





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             lowerCamelCase__		:				int    =  self.get_tokenizers(do_lower_case=__lowerCamelCase       )
             for tokenizer in tokenizers:
                   with self.subTest(f"{tokenizer.__class__.__name__}"       ):
                         lowerCamelCase__		:				Union[str, Any]    =  "你好，你是谁"
                         lowerCamelCase__		:				Tuple    =  tokenizer.tokenize(__lowerCamelCase       )
                         lowerCamelCase__		:				str    =  tokenizer.convert_tokens_to_ids(__lowerCamelCase       )
                         lowerCamelCase__		:				Union[str, Any]    =  tokenizer.convert_tokens_to_shape_ids(__lowerCamelCase       )
                         lowerCamelCase__		:				List[str]    =  tokenizer.convert_tokens_to_pronunciation_ids(__lowerCamelCase       )
                         lowerCamelCase__		:				Optional[Any]    =  tokenizer.prepare_for_model(
                             __lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )

                         lowerCamelCase__		:				int    =  tokenizer.encode_plus(__lowerCamelCase					,      add_special_tokens=__lowerCamelCase       )

                         self.assertEqual(__lowerCamelCase					,      __lowerCamelCase       )






import math
import random
from typing import Any

from .hill_climbing import SearchProblem

def       lowercase_		(		_A			:    Optional[int]    ,					_A			:    bool = True    ,					_A			:    float = math.inf    ,					_A			:    float = -math.inf    ,					_A			:    float = math.inf    ,					_A			:    float = -math.inf    ,					_A			:    bool = False    ,					_A			:    float = 100    ,					_A			:    float = 0.01    ,					_A			:    float = 1    ,					):

      """simple docstring"""




      lowerCamelCase__		:				List[Any]    =  False
      lowerCamelCase__		:				Optional[Any]    =  search_prob
      lowerCamelCase__		:				List[str]    =  start_temperate
      lowerCamelCase__		:				Optional[int]    =  []
      lowerCamelCase__		:				Any    =  0
      lowerCamelCase__		:				Optional[Any]    =  None

      while not search_end:
            lowerCamelCase__		:				Optional[Any]    =  current_state.score()
            if best_state is None or current_score > best_state.score():
                  lowerCamelCase__		:				List[Any]    =  current_state
            scores.append(_A						)
            iterations += 1
            lowerCamelCase__		:				List[Any]    =  None
            lowerCamelCase__		:				Optional[Any]    =  current_state.get_neighbors()
            while (
                next_state is None and neighbors
            ):  # till we do not find a neighbor that we can move to
                  lowerCamelCase__		:				Any    =  random.randint(0    ,					len(_A						) - 1						)  # picking a random neighbor
                  lowerCamelCase__		:				List[Any]    =  neighbors.pop(_A						)
                  lowerCamelCase__		:				Dict    =  picked_neighbor.score() - current_score

                  if (
                      picked_neighbor.x > max_x
                      or picked_neighbor.x < min_x
                      or picked_neighbor.y > max_y
                      or picked_neighbor.y < min_y
                  ):
                        continue  # neighbor outside our bounds

                  if not find_max:
                        lowerCamelCase__		:				Dict    =  change * -1  # in case we are finding minimum
                  if change > 0:  # improves the solution
                        lowerCamelCase__		:				Optional[Any]    =  picked_neighbor
                  else:
                        lowerCamelCase__		:				str    =  (math.e) ** (
                            change / current_temp
                        )  # probability generation function
                        if random.random() < probability:  # random number within probability
                              lowerCamelCase__		:				Optional[int]    =  picked_neighbor
            lowerCamelCase__		:				Any    =  current_temp - (current_temp * rate_of_decrease)

            if current_temp < threshold_temp or next_state is None:
                  # temperature below threshold, or could not find a suitable neighbor
                  lowerCamelCase__		:				int    =  True
            else:
                  lowerCamelCase__		:				Optional[int]    =  next_state

      if visualization:
            from matplotlib import pyplot as plt

            plt.plot(range(_A						)    ,					_A						)
            plt.xlabel("Iterations"						)
            plt.ylabel("Function values"						)
            plt.show()
      return best_state


if __name__ == "__main__":

    def       lowercase_		(		_A			:    List[str]    ,					_A			:    int						):

          """simple docstring"""




          return (x**2) + (y**2)

    # starting the problem with initial coordinates (12, 47)
    A      :    Any		=					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    A      :    Dict		=					simulated_annealing(
        prob, find_max=False, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
    )
    print(
        "The minimum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 "
        f'and 50 > y > - 5 found via hill climbing: {local_min.score()}'
    )

    # starting the problem with initial coordinates (12, 47)
    A      :    str		=					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    A      :    int		=					simulated_annealing(
        prob, find_max=True, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
    )
    print(
        "The maximum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 "
        f'and 50 > y > - 5 found via hill climbing: {local_min.score()}'
    )

    def       lowercase_		(		_A			:    int    ,					_A			:    Any						):

          """simple docstring"""




          return (3 * x**2) - (6 * y)

    A      :    Optional[int]		=					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    A      :    Union[str, Any]		=					simulated_annealing(prob, find_max=False, visualization=True)
    print(
        "The minimum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: "
        f'{local_min.score()}'
    )

    A      :    Any		=					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    A      :    Optional[int]		=					simulated_annealing(prob, find_max=True, visualization=True)


    print(
        "The maximum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: "
        f'{local_min.score()}'
    )


