



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 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

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

           # Download this model to make sure it's in the cache.
           __a						       =				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=__SCREAMING_SNAKE_CASE) as mock_head:
               __a						       =				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 		_lowerCamelCase			(		self							:     int):


           '''simple docstring'''

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

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



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


           '''simple docstring'''

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

               __a						       =				AlbertTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE)
           finally:
               os.remove(__SCREAMING_SNAKE_CASE)

           # 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'''     ,		__SCREAMING_SNAKE_CASE)
               __a						       =				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 		_lowerCamelCase			(		self							:     str):


           '''simple docstring'''

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


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



       @classmethod
       def 		_lowerCamelCase			(		cls							:     List[Any]):


           '''simple docstring'''

           __a						       =				TOKEN
           HfFolder.save_token(__SCREAMING_SNAKE_CASE)



       @classmethod
       def 		_lowerCamelCase			(		cls							:     Optional[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 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

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

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

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



       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

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

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

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





       @require_tokenizers
       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

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

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

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

               __a						       =				BertTokenizerFast.from_pretrained(__SCREAMING_SNAKE_CASE)
               bert_tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE)
               __a						       =				CustomTokenizerFast.from_pretrained(__SCREAMING_SNAKE_CASE)

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

           __a						       =				AutoTokenizer.from_pretrained(F'{USER}/test-dynamic-tokenizer'     ,		trust_remote_code=__SCREAMING_SNAKE_CASE)
           # 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''')
           __a						       =				AutoTokenizer.from_pretrained(
               F'{USER}/test-dynamic-tokenizer'     ,		use_fast=__SCREAMING_SNAKE_CASE     ,		trust_remote_code=__SCREAMING_SNAKE_CASE)
           # 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 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           __a						       =				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 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

           __a						       =				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 		_lowerCamelCase			(		self							:     int):


           '''simple docstring'''

           __a						       =				Trie()
           trie.add('''A''')
           self.assertEqual(trie.split('''ABC''')     ,		['''A''', '''BC'''])
           self.assertEqual(trie.split('''BCA''')     ,		['''BC''', '''A'''])



       def 		_lowerCamelCase			(		self							:     int):


           '''simple docstring'''

           __a						       =				Trie()
           trie.add('''TOKEN]''')
           trie.add('''[SPECIAL_TOKEN]''')
           self.assertEqual(trie.split('''This is something [SPECIAL_TOKEN]''')     ,		['''This is something ''', '''[SPECIAL_TOKEN]'''])



       def 		_lowerCamelCase			(		self							:     Optional[int]):


           '''simple docstring'''

           __a						       =				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 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           __a						       =				Trie()
           trie.add('''AB''')
           trie.add('''B''')
           trie.add('''C''')
           self.assertEqual(trie.split('''ABC''')     ,		['''AB''', '''C'''])



       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

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





       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

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











"""simple docstring"""


from __future__ import annotations


def 					UpperCAmelCase__       (snake_case__							:					list[float]    ):
  """simple docstring"""

  _snake_case							:		int								=  0.00
  _snake_case							:		int								=  0
  for resistor in resistors:
    if resistor <= 0:
      _snake_case							:		Dict								=  F"Resistor at index {index} has a negative or zero value!"
      raise ValueError(snake_case__    )
    first_sum += 1 / float(snake_case__    )
    index += 1
  return 1 / first_sum


def 					UpperCAmelCase__       (snake_case__							:					list[float]    ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  0.00
  _snake_case							:		Any								=  0
  for resistor in resistors:
    sum_r += resistor
    if resistor < 0:
      _snake_case							:		Any								=  F"Resistor at index {index} has a negative value!"
      raise ValueError(snake_case__    )
    index += 1
  return sum_r


if __name__ == "__main__":
     import doctest

     doctest.testmod()


