
from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version


def    A (      lowercase					, lowercase					, lowercase = None				)     ->						str:
		'''simple docstring'''

		if version.parse(hfh.__version__				).release < version.parse('0.11.0'				).release:
				# old versions of hfh don't url-encode the file path
				UpperCamelCase						=  quote(_lowercase				)
		return hfh.hf_hub_url(_lowercase					, _lowercase					, repo_type='dataset'					, revision=_lowercase				)


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        lowercase      (	unittest.TestCase     ):



		def __UpperCamelCase				(				self )						->      Tuple:
				"""simple docstring"""
				# A mock response for an HTTP head request to emulate server down
				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=A_ ) 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 __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				# A mock response for an HTTP head request to emulate server down
				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=A_ ) as mock_head:
						UpperCamelCase						=  GPTaTokenizerFast.from_pretrained('gpt2' )
						# This check we did call the fake head request
						mock_head.assert_called()



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

						UpperCamelCase						=  AlbertTokenizer.from_pretrained(A_ )
				finally:
						os.remove(A_ )

				# 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'       ,   A_ )
						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 __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				# This test is for deprecated behavior and can be removed in v5
				UpperCamelCase						=  AlbertTokenizer.from_pretrained('https://huggingface.co/albert-base-v1/resolve/main/spiece.model' )






@is_staging_test
class        lowercase      (	unittest.TestCase     ):
		__lowercase : int			  =       ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]



		@classmethod
		def __UpperCamelCase				(				cls )						->      Tuple:
				"""simple docstring"""
				UpperCamelCase						=  TOKEN
				HfFolder.save_token(A_ )



		@classmethod
		def __UpperCamelCase				(				cls )						->      Optional[int]:
				"""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 __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				with tempfile.TemporaryDirectory() as tmp_dir:
						UpperCamelCase						=  os.path.join(A_       ,   'vocab.txt' )
						with open(A_       ,   'w'       ,   encoding='utf-8' ) as vocab_writer:
								vocab_writer.write(''.join([x + '\n' for x in self.vocab_tokens] ) )
						UpperCamelCase						=  BertTokenizer(A_ )

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

				UpperCamelCase						=  BertTokenizer.from_pretrained(F'''{USER}/test-tokenizer''' )
				self.assertDictEqual(new_tokenizer.vocab       ,   tokenizer.vocab )



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

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

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



		@require_tokenizers
		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				CustomTokenizer.register_for_auto_class()
				with tempfile.TemporaryDirectory() as tmp_dir:
						UpperCamelCase						=  os.path.join(A_       ,   'vocab.txt' )
						with open(A_       ,   'w'       ,   encoding='utf-8' ) as vocab_writer:
								vocab_writer.write(''.join([x + '\n' for x in self.vocab_tokens] ) )
						UpperCamelCase						=  CustomTokenizer(A_ )

				# 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=A_ )
				# 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(A_       ,   'vocab.txt' )
						with open(A_       ,   'w'       ,   encoding='utf-8' ) as vocab_writer:
								vocab_writer.write(''.join([x + '\n' for x in self.vocab_tokens] ) )

						UpperCamelCase						=  BertTokenizerFast.from_pretrained(A_ )
						bert_tokenizer.save_pretrained(A_ )
						UpperCamelCase						=  CustomTokenizerFast.from_pretrained(A_ )

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

				UpperCamelCase						=  AutoTokenizer.from_pretrained(F'''{USER}/test-dynamic-tokenizer'''       ,   trust_remote_code=A_ )
				# 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=A_       ,   trust_remote_code=A_ )
				# 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        lowercase      (	unittest.TestCase     ):



		def __UpperCamelCase				(				self )						->      Optional[int]:
				"""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 __UpperCamelCase				(				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 __UpperCamelCase				(				self )						->      List[Any]:
				"""simple docstring"""
				UpperCamelCase						=  Trie()
				trie.add('A' )
				self.assertEqual(trie.split('ABC' )       ,   ['A', 'BC'] )
				self.assertEqual(trie.split('BCA' )       ,   ['BC', 'A'] )



		def __UpperCamelCase				(				self )						->      Tuple:
				"""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 __UpperCamelCase				(				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 __UpperCamelCase				(				self )						->      Optional[Any]:
				"""simple docstring"""
				UpperCamelCase						=  Trie()
				trie.add('AB' )
				trie.add('B' )
				trie.add('C' )
				self.assertEqual(trie.split('ABC' )       ,   ['AB', 'C'] )



		def __UpperCamelCase				(				self )						->      Tuple:
				"""simple docstring"""
				UpperCamelCase						=  Trie()
				trie.add('ABC' )
				trie.add('B' )
				trie.add('CD' )
				self.assertEqual(trie.split('ABCD' )       ,   ['ABC', 'D'] )



		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				# Even if the offsets are wrong, we necessarily output correct string
				# parts.
				UpperCamelCase						=  Trie()
				UpperCamelCase						=  trie.cut_text('ABC'       ,   [0, 0, 2, 1, 2, 3] )
				self.assertEqual(A_       ,   ['AB', 'C'] )
