
from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
_A     =  10






def      lowerCamelCase__       (       __lowerCAmelCase						:						int					,							__lowerCAmelCase						:						int					,							__lowerCAmelCase						:						list[int]					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			for i in range(__lowerCAmelCase					,							__lowerCAmelCase       ):
						if array[i] == target:
									return i
			return -1






def      lowerCamelCase__       (       __lowerCAmelCase						:						list[int]					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			0
			lowerCAmelCase_      			=			len(__lowerCAmelCase       )
			while left <= right:
						if right - left < precision:
									return lin_search(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase       )

						lowerCAmelCase_      			=			(left + right) // 3 + 1
						lowerCAmelCase_      			=			2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									lowerCAmelCase_      			=			one_third - 1
						elif array[two_third] < target:
									lowerCAmelCase_      			=			two_third + 1

						else:
									lowerCAmelCase_      			=			one_third + 1
									lowerCAmelCase_      			=			two_third - 1
			else:
						return -1






def      lowerCamelCase__       (       __lowerCAmelCase						:						int					,							__lowerCAmelCase						:						int					,							__lowerCAmelCase						:						list[int]					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			if left < right:
						if right - left < precision:
									return lin_search(__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase       )
						lowerCAmelCase_      			=			(left + right) // 3 + 1
						lowerCAmelCase_      			=			2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									return rec_ternary_search(__lowerCAmelCase					,							one_third - 1					,							__lowerCAmelCase					,							__lowerCAmelCase       )
						elif array[two_third] < target:
									return rec_ternary_search(two_third + 1					,							__lowerCAmelCase					,							__lowerCAmelCase					,							__lowerCAmelCase       )
						else:
									return rec_ternary_search(one_third + 1					,							two_third - 1					,							__lowerCAmelCase					,							__lowerCAmelCase       )
			else:
						return -1


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			_A     =  input("Enter numbers separated by comma:\n").strip()
			_A     =  [int(item.strip()) for item in user_input.split(",")]
			assert collection == sorted(collection), f"List must be ordered.\n{collection}."
			_A     =  int(input("Enter the number to be found in the list:\n").strip())
			_A     =  ite_ternary_search(collection, target)
			_A     =  rec_ternary_search(0, len(collection) - 1, collection, target)
			if resulta != -1:
						print(f"""Iterative search: {target} found at positions: {resulta}""")
						print(f"""Recursive search: {target} found at positions: {resulta}""")
			else:
						print("Not found")





import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError

from transformers import (
    AlbertTokenizer,
    AutoTokenizer,
    BertTokenizer,
    BertTokenizerFast,
    GPTaTokenizerFast,
    is_tokenizers_available,
)
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_tokenizers
from transformers.tokenization_utils import Trie


sys.path.append(str(Path(__file__).parent.parent / "utils"))

from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
			from test_module.custom_tokenization_fast import CustomTokenizerFast





class 			_lowerCAmelCase      (			unittest.TestCase ):




				def   __a		(      self  )       ->   str:
							# A mock response for an HTTP head request to emulate server down
							lowerCAmelCase_      			=			mock.Mock()
							lowerCAmelCase_      			=			500
							lowerCAmelCase_      			=			{}
							lowerCAmelCase_      			=			HTTPError
							lowerCAmelCase_      			=			{}

							# Download this model to make sure it's in the cache.
							lowerCAmelCase_      			=			BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"  )

							# Under the mock environment we get a 500 error when trying to reach the tokenizer.
							with mock.patch("requests.Session.request"       ,       return_value=_UpperCamelCase  ) as mock_head:
										lowerCAmelCase_      			=			BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"  )
										# This check we did call the fake head request
										mock_head.assert_called()




				@require_tokenizers
				def   __a		(      self  )       ->   int:
							# A mock response for an HTTP head request to emulate server down
							lowerCAmelCase_      			=			mock.Mock()
							lowerCAmelCase_      			=			500
							lowerCAmelCase_      			=			{}
							lowerCAmelCase_      			=			HTTPError
							lowerCAmelCase_      			=			{}

							# Download this model to make sure it's in the cache.
							lowerCAmelCase_      			=			GPTaTokenizerFast.from_pretrained("gpt2"  )

							# Under the mock environment we get a 500 error when trying to reach the tokenizer.
							with mock.patch("requests.Session.request"       ,       return_value=_UpperCamelCase  ) as mock_head:
										lowerCAmelCase_      			=			GPTaTokenizerFast.from_pretrained("gpt2"  )
										# This check we did call the fake head request
										mock_head.assert_called()




				def   __a		(      self  )       ->   List[Any]:
							# This test is for deprecated behavior and can be removed in v5
							try:
										lowerCAmelCase_      			=			tempfile.mktemp()
										with open(_UpperCamelCase       ,       "wb"  ) as f:
													http_get("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"       ,       _UpperCamelCase  )

										lowerCAmelCase_      			=			AlbertTokenizer.from_pretrained(_UpperCamelCase  )
							finally:
										os.remove(_UpperCamelCase  )

							# Supporting this legacy load introduced a weird bug where the tokenizer would load local files if they are in
							# the current folder and have the right name.
							if os.path.isfile("tokenizer.json"  ):
										# We skip the test if the user has a `tokenizer.json` in this folder to avoid deleting it.
										return
							try:
										with open("tokenizer.json"       ,       "wb"  ) as f:
													http_get("https://huggingface.co/hf-internal-testing/tiny-random-bert/blob/main/tokenizer.json"       ,       _UpperCamelCase  )
										lowerCAmelCase_      			=			AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gpt2"  )
										# The tiny random BERT has a vocab size of 1024, tiny gpt2 as a vocab size of 1000
										self.assertEqual(tokenizer.vocab_size       ,       1_000  )
										# Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

							finally:
										os.remove("tokenizer.json"  )




				def   __a		(      self  )       ->   Union[str, Any]:
							# This test is for deprecated behavior and can be removed in v5
							lowerCAmelCase_      			=			AlbertTokenizer.from_pretrained("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"  )





@is_staging_test
class 			_lowerCAmelCase      (			unittest.TestCase ):
				_lowercase    	=['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''bla''', '''blou''']




				@classmethod
				def   __a		(      cls  )       ->   Tuple:
							lowerCAmelCase_      			=			TOKEN
							HfFolder.save_token(_UpperCamelCase  )




				@classmethod
				def   __a		(      cls  )       ->   Tuple:
							try:
										delete_repo(token=cls._token       ,       repo_id="test-tokenizer"  )
							except HTTPError:
										pass

							try:
										delete_repo(token=cls._token       ,       repo_id="valid_org/test-tokenizer-org"  )
							except HTTPError:
										pass

							try:
										delete_repo(token=cls._token       ,       repo_id="test-dynamic-tokenizer"  )
							except HTTPError:
										pass




				def   __a		(      self  )       ->   int:
							with tempfile.TemporaryDirectory() as tmp_dir:
										lowerCAmelCase_      			=			os.path.join(_UpperCamelCase       ,       "vocab.txt"  )
										with open(_UpperCamelCase       ,       "w"       ,       encoding="utf-8"  ) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]  )  )
										lowerCAmelCase_      			=			BertTokenizer(_UpperCamelCase  )

							tokenizer.push_to_hub("test-tokenizer"       ,       use_auth_token=self._token  )
							lowerCAmelCase_      			=			BertTokenizer.from_pretrained(f"""{USER}/test-tokenizer"""  )
							self.assertDictEqual(new_tokenizer.vocab       ,       tokenizer.vocab  )

							# Reset repo
							delete_repo(token=self._token       ,       repo_id="test-tokenizer"  )

							# Push to hub via save_pretrained
							with tempfile.TemporaryDirectory() as tmp_dir:
										tokenizer.save_pretrained(_UpperCamelCase       ,       repo_id="test-tokenizer"       ,       push_to_hub=_UpperCamelCase       ,       use_auth_token=self._token  )

							lowerCAmelCase_      			=			BertTokenizer.from_pretrained(f"""{USER}/test-tokenizer"""  )
							self.assertDictEqual(new_tokenizer.vocab       ,       tokenizer.vocab  )




				def   __a		(      self  )       ->   Optional[int]:
							with tempfile.TemporaryDirectory() as tmp_dir:
										lowerCAmelCase_      			=			os.path.join(_UpperCamelCase       ,       "vocab.txt"  )
										with open(_UpperCamelCase       ,       "w"       ,       encoding="utf-8"  ) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]  )  )
										lowerCAmelCase_      			=			BertTokenizer(_UpperCamelCase  )

							tokenizer.push_to_hub("valid_org/test-tokenizer-org"       ,       use_auth_token=self._token  )
							lowerCAmelCase_      			=			BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"  )
							self.assertDictEqual(new_tokenizer.vocab       ,       tokenizer.vocab  )

							# Reset repo
							delete_repo(token=self._token       ,       repo_id="valid_org/test-tokenizer-org"  )

							# Push to hub via save_pretrained
							with tempfile.TemporaryDirectory() as tmp_dir:
										tokenizer.save_pretrained(
										    _UpperCamelCase       ,       repo_id="valid_org/test-tokenizer-org"       ,       push_to_hub=_UpperCamelCase       ,       use_auth_token=self._token  )

							lowerCAmelCase_      			=			BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"  )
							self.assertDictEqual(new_tokenizer.vocab       ,       tokenizer.vocab  )




				@require_tokenizers
				def   __a		(      self  )       ->   Optional[Any]:
							CustomTokenizer.register_for_auto_class()
							with tempfile.TemporaryDirectory() as tmp_dir:
										lowerCAmelCase_      			=			os.path.join(_UpperCamelCase       ,       "vocab.txt"  )
										with open(_UpperCamelCase       ,       "w"       ,       encoding="utf-8"  ) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]  )  )
										lowerCAmelCase_      			=			CustomTokenizer(_UpperCamelCase  )

							# No fast custom tokenizer
							tokenizer.push_to_hub("test-dynamic-tokenizer"       ,       use_auth_token=self._token  )

							lowerCAmelCase_      			=			AutoTokenizer.from_pretrained(f"""{USER}/test-dynamic-tokenizer"""       ,       trust_remote_code=_UpperCamelCase  )
							# Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
							self.assertEqual(tokenizer.__class__.__name__       ,       "CustomTokenizer"  )

							# Fast and slow custom tokenizer
							CustomTokenizerFast.register_for_auto_class()
							with tempfile.TemporaryDirectory() as tmp_dir:
										lowerCAmelCase_      			=			os.path.join(_UpperCamelCase       ,       "vocab.txt"  )
										with open(_UpperCamelCase       ,       "w"       ,       encoding="utf-8"  ) as vocab_writer:
													vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]  )  )

										lowerCAmelCase_      			=			BertTokenizerFast.from_pretrained(_UpperCamelCase  )
										bert_tokenizer.save_pretrained(_UpperCamelCase  )
										lowerCAmelCase_      			=			CustomTokenizerFast.from_pretrained(_UpperCamelCase  )

							tokenizer.push_to_hub("test-dynamic-tokenizer"       ,       use_auth_token=self._token  )

							lowerCAmelCase_      			=			AutoTokenizer.from_pretrained(f"""{USER}/test-dynamic-tokenizer"""       ,       trust_remote_code=_UpperCamelCase  )
							# Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
							self.assertEqual(tokenizer.__class__.__name__       ,       "CustomTokenizerFast"  )
							lowerCAmelCase_      			=			AutoTokenizer.from_pretrained(
							    f"""{USER}/test-dynamic-tokenizer"""       ,       use_fast=_UpperCamelCase       ,       trust_remote_code=_UpperCamelCase  )
							# Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
							self.assertEqual(tokenizer.__class__.__name__       ,       "CustomTokenizer"  )





class 			_lowerCAmelCase      (			unittest.TestCase ):




				def   __a		(      self  )       ->   Any:
							lowerCAmelCase_      			=			Trie()
							trie.add("Hello 友達"  )
							self.assertEqual(trie.data       ,       {"H": {"e": {"l": {"l": {"o": {" ": {"友": {"達": {"": 1}}}}}}}}}  )
							trie.add("Hello"  )
							trie.data
							self.assertEqual(trie.data       ,       {"H": {"e": {"l": {"l": {"o": {"": 1, " ": {"友": {"達": {"": 1}}}}}}}}}  )




				def   __a		(      self  )       ->   Optional[int]:
							lowerCAmelCase_      			=			Trie()
							self.assertEqual(trie.split("[CLS] This is a extra_id_100"  )       ,       ["[CLS] This is a extra_id_100"]  )
							trie.add("[CLS]"  )
							trie.add("extra_id_1"  )
							trie.add("extra_id_100"  )
							self.assertEqual(trie.split("[CLS] This is a extra_id_100"  )       ,       ["[CLS]", " This is a ", "extra_id_100"]  )




				def   __a		(      self  )       ->   str:
							lowerCAmelCase_      			=			Trie()
							trie.add("A"  )
							self.assertEqual(trie.split("ABC"  )       ,       ["A", "BC"]  )
							self.assertEqual(trie.split("BCA"  )       ,       ["BC", "A"]  )




				def   __a		(      self  )       ->   int:
							lowerCAmelCase_      			=			Trie()
							trie.add("TOKEN]"  )
							trie.add("[SPECIAL_TOKEN]"  )
							self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"  )       ,       ["This is something ", "[SPECIAL_TOKEN]"]  )




				def   __a		(      self  )       ->   int:
							lowerCAmelCase_      			=			Trie()
							trie.add("A"  )
							trie.add("P"  )
							trie.add("[SPECIAL_TOKEN]"  )
							self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"  )       ,       ["This is something ", "[SPECIAL_TOKEN]"]  )




				def   __a		(      self  )       ->   str:
							lowerCAmelCase_      			=			Trie()
							trie.add("AB"  )
							trie.add("B"  )
							trie.add("C"  )
							self.assertEqual(trie.split("ABC"  )       ,       ["AB", "C"]  )




				def   __a		(      self  )       ->   List[Any]:
							lowerCAmelCase_      			=			Trie()
							trie.add("ABC"  )
							trie.add("B"  )
							trie.add("CD"  )
							self.assertEqual(trie.split("ABCD"  )       ,       ["ABC", "D"]  )




				def   __a		(      self  )       ->   List[Any]:
							# Even if the offsets are wrong, we necessarily output correct string
							# parts.
							lowerCAmelCase_      			=			Trie()
							lowerCAmelCase_      			=			trie.cut_text("ABC"       ,       [0, 0, 2, 1, 2, 3]  )
							self.assertEqual(_UpperCamelCase       ,       ["AB", "C"]  )



