


'''simple docstring'''
import os
import shutil
import sys
import tempfile
import unittest
from pathlib import Path

import pytest

import transformers
from transformers import (
    BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
    GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
    AutoTokenizer,
    BertConfig,
    BertTokenizer,
    BertTokenizerFast,
    CTRLTokenizer,
    GPTaTokenizer,
    GPTaTokenizerFast,
    PreTrainedTokenizerFast,
    RobertaTokenizer,
    RobertaTokenizerFast,
    is_tokenizers_available,
)
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.auto.tokenization_auto import (
    TOKENIZER_MAPPING,
    get_tokenizer_config,
    tokenizer_class_from_name,
)
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import (
    DUMMY_DIFF_TOKENIZER_IDENTIFIER,
    DUMMY_UNKNOWN_IDENTIFIER,
    SMALL_MODEL_IDENTIFIER,
    RequestCounter,
    require_tokenizers,
    slow,
)


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

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
		from test_module.custom_tokenization_fast import CustomTokenizerFast
class      lowercase			(							unittest.TestCase      ):

		"""simple docstring"""

		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[str]							      =				0




		@slow
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for model_name in (x for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys() if "japanese" not in x):
												UpperCamelCase__     :Optional[Any]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
												self.assertIsNotNone(UpperCamelCase_							)
												self.assertIsInstance(UpperCamelCase_					,     (BertTokenizer, BertTokenizerFast)							)
												self.assertGreater(len(UpperCamelCase_							)					,     0							)

							for model_name in GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys():
												UpperCamelCase__     :Tuple							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
												self.assertIsNotNone(UpperCamelCase_							)
												self.assertIsInstance(UpperCamelCase_					,     (GPTaTokenizer, GPTaTokenizerFast)							)
												self.assertGreater(len(UpperCamelCase_							)					,     0							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Tuple							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_					,     (BertTokenizer, BertTokenizerFast)							)
							self.assertEqual(tokenizer.vocab_size					,     12							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_					,     (RobertaTokenizer, RobertaTokenizerFast)							)
							self.assertEqual(tokenizer.vocab_size					,     20							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				AutoConfig.from_pretrained(UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)
							# Check that tokenizer_type ≠ model_type
							UpperCamelCase__     :Union[str, Any]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     config=UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_					,     (BertTokenizer, BertTokenizerFast)							)
							self.assertEqual(tokenizer.vocab_size					,     12							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with tempfile.TemporaryDirectory() as tmp_dir:
												shutil.copy('''./tests/fixtures/vocab.txt'''					,     os.path.join(UpperCamelCase_					,     '''vocab.txt'''							)							)

												UpperCamelCase__     :Optional[Any]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     tokenizer_type='''bert'''					,     use_fast=UpperCamelCase_							)
												self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)

							with tempfile.TemporaryDirectory() as tmp_dir:
												shutil.copy('''./tests/fixtures/vocab.json'''					,     os.path.join(UpperCamelCase_					,     '''vocab.json'''							)							)
												shutil.copy('''./tests/fixtures/merges.txt'''					,     os.path.join(UpperCamelCase_					,     '''merges.txt'''							)							)

												UpperCamelCase__     :str							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     tokenizer_type='''gpt2'''					,     use_fast=UpperCamelCase_							)
												self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with tempfile.TemporaryDirectory() as tmp_dir:
												shutil.copy('''./tests/fixtures/vocab.txt'''					,     os.path.join(UpperCamelCase_					,     '''vocab.txt'''							)							)

												UpperCamelCase__     :Tuple							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     tokenizer_type='''bert'''							)
												self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)

							with tempfile.TemporaryDirectory() as tmp_dir:
												shutil.copy('''./tests/fixtures/vocab.json'''					,     os.path.join(UpperCamelCase_					,     '''vocab.json'''							)							)
												shutil.copy('''./tests/fixtures/merges.txt'''					,     os.path.join(UpperCamelCase_					,     '''merges.txt'''							)							)

												UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     tokenizer_type='''gpt2'''							)
												self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with pytest.raises(UpperCamelCase_							):
												AutoTokenizer.from_pretrained('''./'''					,     tokenizer_type='''xxx'''							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
												UpperCamelCase__     :List[str]							      =				tokenizer_class.from_pretrained('''wietsedv/bert-base-dutch-cased'''							)
												self.assertIsInstance(UpperCamelCase_					,     (BertTokenizer, BertTokenizerFast)							)

												if isinstance(UpperCamelCase_					,     UpperCamelCase_							):
																	self.assertEqual(tokenizer.basic_tokenizer.do_lower_case					,     UpperCamelCase_							)
												else:
																	self.assertEqual(tokenizer.do_lower_case					,     UpperCamelCase_							)

												self.assertEqual(tokenizer.model_max_length					,     512							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
												with self.assertRaisesRegex(
												    UpperCamelCase_					,     '''julien-c/herlolip-not-exists is not a local folder and is not a valid model identifier'''					,     ):
																	UpperCamelCase__     :str							      =				tokenizer_class.from_pretrained('''julien-c/herlolip-not-exists'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[Any]							      =				TOKENIZER_MAPPING.values()
							UpperCamelCase__     :List[Any]							      =				[]

							for slow_tok, fast_tok in tokenizers:
												if slow_tok is not None:
																	tokenizer_names.append(slow_tok.__name__							)

												if fast_tok is not None:
																	tokenizer_names.append(fast_tok.__name__							)

							for tokenizer_name in tokenizer_names:
												# must find the right class
												tokenizer_class_from_name(UpperCamelCase_							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							self.assertIsInstance(AutoTokenizer.from_pretrained('''bert-base-cased'''					,     use_fast=UpperCamelCase_							)					,     UpperCamelCase_							)
							self.assertIsInstance(AutoTokenizer.from_pretrained('''bert-base-cased'''							)					,     UpperCamelCase_							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				AutoTokenizer.from_pretrained('''distilbert-base-uncased'''					,     do_lower_case=UpperCamelCase_							)
							UpperCamelCase__     :Optional[int]							      =				'''Hello, world. How are you?'''
							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.tokenize(UpperCamelCase_							)
							self.assertEqual('''[UNK]'''					,     tokens[0]							)

							UpperCamelCase__     :Dict							      =				AutoTokenizer.from_pretrained('''microsoft/mpnet-base'''					,     do_lower_case=UpperCamelCase_							)
							UpperCamelCase__     :Optional[int]							      =				tokenizer.tokenize(UpperCamelCase_							)
							self.assertEqual('''[UNK]'''					,     tokens[0]							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained('''robot-test/dummy-tokenizer-fast-with-model-config'''							)
							self.assertEqual(type(UpperCamelCase_							)					,     UpperCamelCase_							)
							self.assertEqual(tokenizer.model_max_length					,     512							)
							self.assertEqual(tokenizer.vocab_size					,     30000							)
							self.assertEqual(tokenizer.unk_token					,     '''[UNK]'''							)
							self.assertEqual(tokenizer.padding_side					,     '''right'''							)
							self.assertEqual(tokenizer.truncation_side					,     '''right'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
							self.assertIsInstance(UpperCamelCase_					,     (BertTokenizer, BertTokenizerFast)							)
							with tempfile.TemporaryDirectory() as tmp_dir:
												tokenizer.save_pretrained(UpperCamelCase_							)
												UpperCamelCase__     :int							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)

							self.assertIsInstance(UpperCamelCase_					,     tokenizer.__class__							)
							self.assertEqual(tokenizera.vocab_size					,     12							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				AutoTokenizer.from_pretrained('''ctrl'''							)
							# There is no fast CTRL so this always gives us a slow tokenizer.
							self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[str]							      =				get_tokenizer_config('''bert-base-cased'''							)
							UpperCamelCase__     :Any							      =				config.pop('''_commit_hash'''					,     UpperCamelCase_							)
							# If we ever update bert-base-cased tokenizer config, this dict here will need to be updated.
							self.assertEqual(UpperCamelCase_					,     {'''do_lower_case''': False}							)

							# This model does not have a tokenizer_config so we get back an empty dict.
							UpperCamelCase__     :Optional[Any]							      =				get_tokenizer_config(UpperCamelCase_							)
							self.assertDictEqual(UpperCamelCase_					,     {}							)

							# A tokenizer saved with `save_pretrained` always creates a tokenizer config.
							UpperCamelCase__     :int							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
							with tempfile.TemporaryDirectory() as tmp_dir:
												tokenizer.save_pretrained(UpperCamelCase_							)
												UpperCamelCase__     :Dict							      =				get_tokenizer_config(UpperCamelCase_							)

							# Check the class of the tokenizer was properly saved (note that it always saves the slow class).
							self.assertEqual(config['''tokenizer_class''']					,     '''BertTokenizer'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							try:
												AutoConfig.register('''custom'''					,     UpperCamelCase_							)

												AutoTokenizer.register(UpperCamelCase_					,     slow_tokenizer_class=UpperCamelCase_							)
												# Trying to register something existing in the Transformers library will raise an error
												with self.assertRaises(UpperCamelCase_							):
																	AutoTokenizer.register(UpperCamelCase_					,     slow_tokenizer_class=UpperCamelCase_							)

												UpperCamelCase__     :List[str]							      =				CustomTokenizer.from_pretrained(UpperCamelCase_							)
												with tempfile.TemporaryDirectory() as tmp_dir:
																	tokenizer.save_pretrained(UpperCamelCase_							)

																	UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
																	self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)

							finally:
												if "custom" in CONFIG_MAPPING._extra_content:
																	del CONFIG_MAPPING._extra_content["custom"]
												if CustomConfig in TOKENIZER_MAPPING._extra_content:
																	del TOKENIZER_MAPPING._extra_content[CustomConfig]




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							try:
												AutoConfig.register('''custom'''					,     UpperCamelCase_							)

												# Can register in two steps
												AutoTokenizer.register(UpperCamelCase_					,     slow_tokenizer_class=UpperCamelCase_							)
												self.assertEqual(TOKENIZER_MAPPING[CustomConfig]					,     (CustomTokenizer, None)							)
												AutoTokenizer.register(UpperCamelCase_					,     fast_tokenizer_class=UpperCamelCase_							)
												self.assertEqual(TOKENIZER_MAPPING[CustomConfig]					,     (CustomTokenizer, CustomTokenizerFast)							)

												del TOKENIZER_MAPPING._extra_content[CustomConfig]
												# Can register in one step
												AutoTokenizer.register(
												    UpperCamelCase_					,     slow_tokenizer_class=UpperCamelCase_					,     fast_tokenizer_class=UpperCamelCase_							)
												self.assertEqual(TOKENIZER_MAPPING[CustomConfig]					,     (CustomTokenizer, CustomTokenizerFast)							)

												# Trying to register something existing in the Transformers library will raise an error
												with self.assertRaises(UpperCamelCase_							):
																	AutoTokenizer.register(UpperCamelCase_					,     fast_tokenizer_class=UpperCamelCase_							)

												# We pass through a bert tokenizer fast cause there is no converter slow to fast for our new toknizer
												# and that model does not have a tokenizer.json
												with tempfile.TemporaryDirectory() as tmp_dir:
																	UpperCamelCase__     :str							      =				BertTokenizerFast.from_pretrained(UpperCamelCase_							)
																	bert_tokenizer.save_pretrained(UpperCamelCase_							)
																	UpperCamelCase__     :List[str]							      =				CustomTokenizerFast.from_pretrained(UpperCamelCase_							)

												with tempfile.TemporaryDirectory() as tmp_dir:
																	tokenizer.save_pretrained(UpperCamelCase_							)

																	UpperCamelCase__     :Any							      =				AutoTokenizer.from_pretrained(UpperCamelCase_							)
																	self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)

																	UpperCamelCase__     :List[str]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     use_fast=UpperCamelCase_							)
																	self.assertIsInstance(UpperCamelCase_					,     UpperCamelCase_							)

							finally:
												if "custom" in CONFIG_MAPPING._extra_content:
																	del CONFIG_MAPPING._extra_content["custom"]
												if CustomConfig in TOKENIZER_MAPPING._extra_content:
																	del TOKENIZER_MAPPING._extra_content[CustomConfig]




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with self.assertRaises(UpperCamelCase_							):
												UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/test_dynamic_tokenizer'''							)
							# If remote code is disabled, we can't load this config.
							with self.assertRaises(UpperCamelCase_							):
												UpperCamelCase__     :Union[str, Any]							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_							)

							UpperCamelCase__     :Tuple							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_							)
							self.assertTrue(tokenizer.special_attribute_present							)
							# Test tokenizer can be reloaded.
							with tempfile.TemporaryDirectory() as tmp_dir:
												tokenizer.save_pretrained(UpperCamelCase_							)
												UpperCamelCase__     :Any							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     trust_remote_code=UpperCamelCase_							)
							self.assertTrue(reloaded_tokenizer.special_attribute_present							)

							if is_tokenizers_available():
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)
												self.assertEqual(reloaded_tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)

												# Test we can also load the slow version
												UpperCamelCase__     :str							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_					,     use_fast=UpperCamelCase_							)
												self.assertTrue(tokenizer.special_attribute_present							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												# Test tokenizer can be reloaded.
												with tempfile.TemporaryDirectory() as tmp_dir:
																	tokenizer.save_pretrained(UpperCamelCase_							)
																	UpperCamelCase__     :Optional[Any]							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     trust_remote_code=UpperCamelCase_					,     use_fast=UpperCamelCase_							)
												self.assertEqual(reloaded_tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												self.assertTrue(reloaded_tokenizer.special_attribute_present							)
							else:
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												self.assertEqual(reloaded_tokenizer.__class__.__name__					,     '''NewTokenizer'''							)




		@require_tokenizers
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							class      lowercase			(							A__      ):

									"""simple docstring"""

									_a									=       False



							class      lowercase			(							A__      ):

									"""simple docstring"""

									_a									=       NewTokenizer
									_a									=       False

							try:
												AutoConfig.register('''custom'''					,     UpperCamelCase_							)
												AutoTokenizer.register(UpperCamelCase_					,     slow_tokenizer_class=UpperCamelCase_							)
												AutoTokenizer.register(UpperCamelCase_					,     fast_tokenizer_class=UpperCamelCase_							)
												# If remote code is not set, the default is to use local
												UpperCamelCase__     :str							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/test_dynamic_tokenizer'''							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)
												self.assertFalse(tokenizer.special_attribute_present							)
												UpperCamelCase__     :Union[str, Any]							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/test_dynamic_tokenizer'''					,     use_fast=UpperCamelCase_							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												self.assertFalse(tokenizer.special_attribute_present							)

												# If remote code is disabled, we load the local one.
												UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)
												self.assertFalse(tokenizer.special_attribute_present							)
												UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_					,     use_fast=UpperCamelCase_							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												self.assertFalse(tokenizer.special_attribute_present							)

												# If remote is enabled, we load from the Hub
												UpperCamelCase__     :Optional[int]							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)
												self.assertTrue(tokenizer.special_attribute_present							)
												UpperCamelCase__     :List[str]							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer'''					,     trust_remote_code=UpperCamelCase_					,     use_fast=UpperCamelCase_							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
												self.assertTrue(tokenizer.special_attribute_present							)

							finally:
												if "custom" in CONFIG_MAPPING._extra_content:
																	del CONFIG_MAPPING._extra_content["custom"]
												if CustomConfig in TOKENIZER_MAPPING._extra_content:
																	del TOKENIZER_MAPPING._extra_content[CustomConfig]




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				AutoTokenizer.from_pretrained(
							    '''hf-internal-testing/test_dynamic_tokenizer_legacy'''					,     trust_remote_code=UpperCamelCase_							)
							self.assertTrue(tokenizer.special_attribute_present							)
							if is_tokenizers_available():
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizerFast'''							)

												# Test we can also load the slow version
												UpperCamelCase__     :Any							      =				AutoTokenizer.from_pretrained(
												    '''hf-internal-testing/test_dynamic_tokenizer_legacy'''					,     trust_remote_code=UpperCamelCase_					,     use_fast=UpperCamelCase_							)
												self.assertTrue(tokenizer.special_attribute_present							)
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)
							else:
												self.assertEqual(tokenizer.__class__.__name__					,     '''NewTokenizer'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with self.assertRaisesRegex(
							    UpperCamelCase_					,     '''bert-base is not a local folder and is not a valid model identifier'''							):
												UpperCamelCase__     :Tuple							      =				AutoTokenizer.from_pretrained('''bert-base'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							with self.assertRaisesRegex(
							    UpperCamelCase_					,     r'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''							):
												UpperCamelCase__     :Dict							      =				AutoTokenizer.from_pretrained(UpperCamelCase_					,     revision='''aaaaaa'''							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :int							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/tiny-random-bert'''							)
							with RequestCounter() as counter:
												UpperCamelCase__     :List[str]							      =				AutoTokenizer.from_pretrained('''hf-internal-testing/tiny-random-bert'''							)
												self.assertEqual(counter.get_request_count					,     0							)
												self.assertEqual(counter.head_request_count					,     1							)
												self.assertEqual(counter.other_request_count					,     0							)



'''simple docstring'''
class      lowercase			:

		"""simple docstring"""

		def __init__(	self					,     UpperCamelCase_ = ""					,     UpperCamelCase_ = False							):

							'''simple docstring'''


							UpperCamelCase__     :dict[str, RadixNode]							      =				{}

							# A node will be a leaf if the tree contains its word
							UpperCamelCase__     :List[Any]							      =				is_leaf

							UpperCamelCase__     :Dict							      =				prefix




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				0
							for q, w in zip(self.prefix					,     UpperCamelCase_							):
												if q != w:
																	break

												x += 1

							return self.prefix[:x], self.prefix[x:], word[x:]




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							for word in words:
												self.insert(UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							if self.prefix == word:
												UpperCamelCase__     :Tuple							      =				True

							# Case 2: The node has no edges that have a prefix to the word
							# Solution: We create an edge from the current node to a new one
							# containing the word
							elif word[0] not in self.nodes:
												UpperCamelCase__     :Optional[Any]							      =				RadixNode(prefix=UpperCamelCase_					,     is_leaf=UpperCamelCase_							)

							else:
												UpperCamelCase__     :Optional[Any]							      =				self.nodes[word[0]]
												UpperCamelCase__      ,       UpperCamelCase__      ,       UpperCamelCase__     :List[Any]							      =				incoming_node.match(
												    UpperCamelCase_							)

												# Case 3: The node prefix is equal to the matching
												# Solution: We insert remaining word on the next node
												if remaining_prefix == "":
																	self.nodes[matching_string[0]].insert(UpperCamelCase_							)

												# Case 4: The word is greater equal to the matching
												# Solution: Create a node in between both nodes, change
												# prefixes and add the new node for the remaining word
												else:
																	UpperCamelCase__     :str							      =				remaining_prefix

																	UpperCamelCase__     :Optional[Any]							      =				self.nodes[matching_string[0]]
																	UpperCamelCase__     :Dict							      =				RadixNode(UpperCamelCase_					,     UpperCamelCase_							)
																	UpperCamelCase__     :List[Any]							      =				aux_node

																	if remaining_word == "":
																						UpperCamelCase__     :List[Any]							      =				True
																	else:
																						self.nodes[matching_string[0]].insert(UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :List[Any]							      =				self.nodes.get(word[0]					,     UpperCamelCase_							)
							if not incoming_node:
												return False
							else:
												UpperCamelCase__      ,       UpperCamelCase__      ,       UpperCamelCase__     :Tuple							      =				incoming_node.match(
												    UpperCamelCase_							)
												# If there is remaining prefix, the word can't be on the tree
												if remaining_prefix != "":
																	return False
												# This applies when the word and the prefix are equal
												elif remaining_word == "":
																	return incoming_node.is_leaf
												# We have word remaining so we check the next node
												else:
																	return incoming_node.find(UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				self.nodes.get(word[0]					,     UpperCamelCase_							)
							if not incoming_node:
												return False
							else:
												UpperCamelCase__      ,       UpperCamelCase__      ,       UpperCamelCase__     :Tuple							      =				incoming_node.match(
												    UpperCamelCase_							)
												# If there is remaining prefix, the word can't be on the tree
												if remaining_prefix != "":
																	return False
												# We have word remaining so we check the next node
												elif remaining_word != "":
																	return incoming_node.delete(UpperCamelCase_							)
												else:
																	# If it is not a leaf, we don't have to delete
																	if not incoming_node.is_leaf:
																						return False
																	else:
																						# We delete the nodes if no edges go from it
																						if len(incoming_node.nodes							) == 0:
																											del self.nodes[word[0]]
																											# We merge the current node with its only child
																											if len(self.nodes							) == 1 and not self.is_leaf:
																																UpperCamelCase__     :Tuple							      =				list(self.nodes.values()							)[0]
																																UpperCamelCase__     :Union[str, Any]							      =				merging_node.is_leaf
																																self.prefix += merging_node.prefix
																																UpperCamelCase__     :Dict							      =				merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																						elif len(incoming_node.nodes							) > 1:
																											UpperCamelCase__     :List[str]							      =				False
																						# If there is 1 edge, we merge it with its child
																						else:
																											UpperCamelCase__     :Optional[int]							      =				list(incoming_node.nodes.values()							)[0]
																											UpperCamelCase__     :int							      =				merging_node.is_leaf
																											incoming_node.prefix += merging_node.prefix
																											UpperCamelCase__     :Optional[int]							      =				merging_node.nodes

																						return True




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_ = 0							):

							'''simple docstring'''


							if self.prefix != "":
												print('''-''' * height					,     self.prefix					,     '''  (leaf)''' if self.is_leaf else ''''''							)

							for value in self.nodes.values():
												value.print_tree(height + 1							)



def     a   (    )						->			bool:



					'''simple docstring'''






					UpperCamelCase__     :Tuple							      =				'''banana bananas bandana band apple all beast'''.split()
					UpperCamelCase__     :Tuple							      =				RadixNode()
					root.insert_many(__a     )

					assert all(root.find(__a     ) for word in words     )
					assert not root.find('''bandanas'''     )
					assert not root.find('''apps'''     )
					root.delete('''all'''     )
					assert not root.find('''all'''     )
					root.delete('''banana'''     )
					assert not root.find('''banana'''     )
					assert root.find('''bananas'''     )

					return True


def     a   (    )						->			None:



					'''simple docstring'''






					assert test_trie()


def     a   (    )						->			None:



					'''simple docstring'''






					UpperCamelCase__     :List[Any]							      =				RadixNode()
					UpperCamelCase__     :List[Any]							      =				'''banana bananas bandanas bandana band apple all beast'''.split()
					root.insert_many(__a     )

					print('''Words:'''				,      __a     )
					print('''Tree:'''     )
					root.print_tree()


if __name__ == "__main__":
		main()