




'''simple docstring'''







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     _a						(			unittest.TestCase				):
							def 					A   (			self		:			List[str]       ):



											'''simple docstring'''

											UpperCAmelCase     =	mock.Mock()
											UpperCAmelCase     =	500
											UpperCAmelCase     =	{}
											UpperCAmelCase     =	HTTPError
											UpperCAmelCase     =	{}

											# Download this model to make sure it's in the cache.
											UpperCAmelCase     =	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=lowercase       ) as mock_head:
															UpperCAmelCase     =	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		:			Tuple       ):



											'''simple docstring'''

											UpperCAmelCase     =	mock.Mock()
											UpperCAmelCase     =	500
											UpperCAmelCase     =	{}
											UpperCAmelCase     =	HTTPError
											UpperCAmelCase     =	{}

											# Download this model to make sure it's in the cache.
											UpperCAmelCase     =	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=lowercase       ) as mock_head:
															UpperCAmelCase     =	GPTaTokenizerFast.from_pretrained('''gpt2'''       )
															# This check we did call the fake head request
															mock_head.assert_called()
							def 					A   (			self		:			int       ):



											'''simple docstring'''

											try:
															UpperCAmelCase     =	tempfile.mktemp()
															with open(lowercase     ,       '''wb'''       ) as f:
																			http_get('''https://huggingface.co/albert-base-v1/resolve/main/spiece.model'''     ,       lowercase       )

															UpperCAmelCase     =	AlbertTokenizer.from_pretrained(lowercase       )
											finally:
															os.remove(lowercase       )

											# 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'''     ,       lowercase       )
															UpperCAmelCase     =	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		:			int       ):



											'''simple docstring'''

											UpperCAmelCase     =	AlbertTokenizer.from_pretrained('''https://huggingface.co/albert-base-v1/resolve/main/spiece.model'''       )






@is_staging_test
class     _a						(			unittest.TestCase				):
							__a       :  Tuple            =      ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """bla""", """blou"""]
							@classmethod
							def 					A   (			cls		:			int       ):



											'''simple docstring'''

											UpperCAmelCase     =	TOKEN
											HfFolder.save_token(lowercase       )
							@classmethod
							def 					A   (			cls		:			List[Any]       ):



											'''simple docstring'''

											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		:			Optional[int]       ):



											'''simple docstring'''

											with tempfile.TemporaryDirectory() as tmp_dir:
															UpperCAmelCase     =	os.path.join(lowercase     ,       '''vocab.txt'''       )
															with open(lowercase     ,       '''w'''     ,       encoding='''utf-8'''       ) as vocab_writer:
																			vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]       )       )
															UpperCAmelCase     =	BertTokenizer(lowercase       )

											tokenizer.push_to_hub('''test-tokenizer'''     ,       use_auth_token=self._token       )
											UpperCAmelCase     =	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(lowercase     ,       repo_id='''test-tokenizer'''     ,       push_to_hub=lowercase     ,       use_auth_token=self._token       )

											UpperCAmelCase     =	BertTokenizer.from_pretrained(f"{USER}/test-tokenizer"       )
											self.assertDictEqual(new_tokenizer.vocab     ,       tokenizer.vocab       )
							def 					A   (			self		:			Union[str, Any]       ):



											'''simple docstring'''

											with tempfile.TemporaryDirectory() as tmp_dir:
															UpperCAmelCase     =	os.path.join(lowercase     ,       '''vocab.txt'''       )
															with open(lowercase     ,       '''w'''     ,       encoding='''utf-8'''       ) as vocab_writer:
																			vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]       )       )
															UpperCAmelCase     =	BertTokenizer(lowercase       )

											tokenizer.push_to_hub('''valid_org/test-tokenizer-org'''     ,       use_auth_token=self._token       )
											UpperCAmelCase     =	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(
															    lowercase     ,       repo_id='''valid_org/test-tokenizer-org'''     ,       push_to_hub=lowercase     ,       use_auth_token=self._token       )

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







							@require_tokenizers
							def 					A   (			self		:			Optional[Any]       ):



											'''simple docstring'''

											CustomTokenizer.register_for_auto_class()
											with tempfile.TemporaryDirectory() as tmp_dir:
															UpperCAmelCase     =	os.path.join(lowercase     ,       '''vocab.txt'''       )
															with open(lowercase     ,       '''w'''     ,       encoding='''utf-8'''       ) as vocab_writer:
																			vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]       )       )
															UpperCAmelCase     =	CustomTokenizer(lowercase       )

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

											UpperCAmelCase     =	AutoTokenizer.from_pretrained(f"{USER}/test-dynamic-tokenizer"     ,       trust_remote_code=lowercase       )
											# 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:
															UpperCAmelCase     =	os.path.join(lowercase     ,       '''vocab.txt'''       )
															with open(lowercase     ,       '''w'''     ,       encoding='''utf-8'''       ) as vocab_writer:
																			vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]       )       )

															UpperCAmelCase     =	BertTokenizerFast.from_pretrained(lowercase       )
															bert_tokenizer.save_pretrained(lowercase       )
															UpperCAmelCase     =	CustomTokenizerFast.from_pretrained(lowercase       )

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

											UpperCAmelCase     =	AutoTokenizer.from_pretrained(f"{USER}/test-dynamic-tokenizer"     ,       trust_remote_code=lowercase       )
											# 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'''       )
											UpperCAmelCase     =	AutoTokenizer.from_pretrained(
											    f"{USER}/test-dynamic-tokenizer"     ,       use_fast=lowercase     ,       trust_remote_code=lowercase       )
											# 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     _a						(			unittest.TestCase				):
							def 					A   (			self		:			Tuple       ):



											'''simple docstring'''

											UpperCAmelCase     =	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		:			str       ):



											'''simple docstring'''

											UpperCAmelCase     =	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		:			Union[str, Any]       ):



											'''simple docstring'''

											UpperCAmelCase     =	Trie()
											trie.add('''A'''       )
											self.assertEqual(trie.split('''ABC'''       )     ,       ['''A''', '''BC''']       )
											self.assertEqual(trie.split('''BCA'''       )     ,       ['''BC''', '''A''']       )
							def 					A   (			self		:			Optional[int]       ):



											'''simple docstring'''

											UpperCAmelCase     =	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		:			Dict       ):



											'''simple docstring'''

											UpperCAmelCase     =	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		:			Union[str, Any]       ):



											'''simple docstring'''

											UpperCAmelCase     =	Trie()
											trie.add('''AB'''       )
											trie.add('''B'''       )
											trie.add('''C'''       )
											self.assertEqual(trie.split('''ABC'''       )     ,       ['''AB''', '''C''']       )
							def 					A   (			self		:			List[Any]       ):



											'''simple docstring'''

											UpperCAmelCase     =	Trie()
											trie.add('''ABC'''       )
											trie.add('''B'''       )
											trie.add('''CD'''       )
											self.assertEqual(trie.split('''ABCD'''       )     ,       ['''ABC''', '''D''']       )







							def 					A   (			self		:			Tuple       ):



											'''simple docstring'''

											UpperCAmelCase     =	Trie()
											UpperCAmelCase     =	trie.cut_text('''ABC'''     ,       [0, 0, 2, 1, 2, 3]       )
											self.assertEqual(lowercase     ,       ['''AB''', '''C''']       )










'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


A									=logging.get_logger(__name__)

A									={
    'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json',
}


class     _a						(			__a				):
       __a       :  List[Any]            =      """mgp-str"""
       def __init__(			self		:			str     ,       lowercase		:			str=[32, 128]     ,       lowercase		:			Optional[Any]=4     ,       lowercase		:			Optional[Any]=3     ,       lowercase		:			Dict=27     ,       lowercase		:			Any=38     ,       lowercase		:			int=50_257     ,       lowercase		:			List[str]=30_522     ,       lowercase		:			Optional[int]=768     ,       lowercase		:			List[Any]=12     ,       lowercase		:			Tuple=12     ,       lowercase		:			Optional[int]=4.0     ,       lowercase		:			Union[str, Any]=True     ,       lowercase		:			str=False     ,       lowercase		:			str=1E-5     ,       lowercase		:			Dict=0.0     ,       lowercase		:			Dict=0.0     ,       lowercase		:			Tuple=0.0     ,       lowercase		:			str=False     ,       lowercase		:			Optional[Any]=0.02     ,       **lowercase		:			List[str]     ,       ):



           '''simple docstring'''

           super().__init__(**lowercase       )

           UpperCAmelCase     =	image_size
           UpperCAmelCase     =	patch_size
           UpperCAmelCase     =	num_channels
           UpperCAmelCase     =	max_token_length
           UpperCAmelCase     =	num_character_labels
           UpperCAmelCase     =	num_bpe_labels
           UpperCAmelCase     =	num_wordpiece_labels
           UpperCAmelCase     =	hidden_size
           UpperCAmelCase     =	num_hidden_layers
           UpperCAmelCase     =	num_attention_heads
           UpperCAmelCase     =	mlp_ratio
           UpperCAmelCase     =	distilled
           UpperCAmelCase     =	layer_norm_eps
           UpperCAmelCase     =	drop_rate
           UpperCAmelCase     =	qkv_bias
           UpperCAmelCase     =	attn_drop_rate
           UpperCAmelCase     =	drop_path_rate
           UpperCAmelCase     =	output_aa_attentions
           UpperCAmelCase     =	initializer_range




