






import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 						_a       (  UpperCAmelCase__						,       unittest.TestCase    ):






  """simple docstring"""





  A_						=   GPTSanJapaneseTokenizer
  A_						=   False
  A_						=   {"""do_clean_text""": False, """add_prefix_space""": False}




  def    _UpperCAmelCase     (     self )			-> str:
     super().setUp()

     # fmt: off
     UpperCamelCase_									=     ['こん', 'こんに', 'にちは', 'ばんは', '世界,㔺界', '、', '。', '<BR>', '<SP>', '<TAB>', '<URL>', '<EMAIL>', '<TEL>', '<DATE>', '<PRICE>', '<BLOCK>', '<KIGOU>', '<U2000U2BFF>', '<|emoji1|>', '<unk>', '<|bagoftoken|>', '<|endoftext|>']
     # fmt: on
     UpperCamelCase_									=     {'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
     UpperCamelCase_									=     {'unk_token': '<unk>'}

     UpperCamelCase_									=     os.path.join(self.tmpdirname		,		VOCAB_FILES_NAMES['vocab_file'] )
     UpperCamelCase_									=     os.path.join(self.tmpdirname		,		VOCAB_FILES_NAMES['emoji_file'] )
     with open(self.vocab_file		,		'w'		,		encoding='utf-8' ) as vocab_writer:
        vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )
     with open(self.emoji_file		,		'w' ) as emoji_writer:
        emoji_writer.write(json.dumps(_UpperCAmelCase ) )




  def    _UpperCAmelCase     (     self		,		**_UpperCAmelCase )			-> Any:
     kwargs.update(self.special_tokens_map )
     return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname		,		**_UpperCAmelCase )




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> str:
     UpperCamelCase_									=     'こんにちは、世界。 \nこんばんは、㔺界。😀'
     UpperCamelCase_									=     'こんにちは、世界。 \nこんばんは、世界。😀'
     return input_text, output_text




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> List[Any]:
     UpperCamelCase_									=     self.get_input_output_texts(_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.encode(_UpperCAmelCase		,		add_special_tokens=_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.decode(_UpperCAmelCase		,		clean_up_tokenization_spaces=_UpperCAmelCase )
     return text, ids




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     pass  # TODO add if relevant




  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     pass  # TODO add if relevant




  def    _UpperCAmelCase     (     self )			-> Optional[int]:
     pass  # TODO add if relevant




  def    _UpperCAmelCase     (     self )			-> str:
     UpperCamelCase_									=     self.get_tokenizer()

     # Testing tokenization
     UpperCamelCase_									=     'こんにちは、世界。　こんばんは、㔺界。'
     UpperCamelCase_									=     ['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
     UpperCamelCase_									=     tokenizer.tokenize(_UpperCAmelCase )
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )

     # Testing conversion to ids without special tokens
     UpperCamelCase_									=     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
     UpperCamelCase_									=     tokenizer.convert_tokens_to_ids(_UpperCAmelCase )
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )

     # Testing conversion to ids with special tokens
     UpperCamelCase_									=     tokens + [tokenizer.unk_token]
     UpperCamelCase_									=     [0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
     UpperCamelCase_									=     tokenizer.convert_tokens_to_ids(_UpperCAmelCase )
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )




  def    _UpperCAmelCase     (     self )			-> List[Any]:
     UpperCamelCase_									=     self.get_tokenizer()

     # Testing tokenization
     UpperCamelCase_									=     'こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
     UpperCamelCase_									=     'こんにちは、、、、世界。こんばんは、、、、世界。'
     UpperCamelCase_									=     tokenizer.encode(_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.decode(_UpperCAmelCase )
     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase )




  @slow
  def    _UpperCAmelCase     (     self )			-> Optional[Any]:
     UpperCamelCase_									=     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese' )

     # Testing tokenization
     UpperCamelCase_									=     'こんにちは、世界。'
     UpperCamelCase_									=     'こんばんは、㔺界。😀'
     UpperCamelCase_									=     'こんにちは、世界。こんばんは、世界。😀'
     UpperCamelCase_									=     tokenizer.encode(prefix_text + input_text )
     UpperCamelCase_									=     tokenizer.encode(''		,		prefix_text=prefix_text + input_text )
     UpperCamelCase_									=     tokenizer.encode(_UpperCAmelCase		,		prefix_text=_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.decode(_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.decode(_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.decode(_UpperCAmelCase )
     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertEqual(_UpperCAmelCase		,		_UpperCAmelCase )




  @slow
  def    _UpperCAmelCase     (     self )			-> int:
     UpperCamelCase_									=     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese' )

     # Testing tokenization
     UpperCamelCase_									=     'こんにちは、世界。'
     UpperCamelCase_									=     'こんばんは、㔺界。😀'

     UpperCamelCase_									=     len(tokenizer.encode(_UpperCAmelCase ) ) - 2
     UpperCamelCase_									=     len(tokenizer.encode(_UpperCAmelCase ) ) - 2

     UpperCamelCase_									=     [1] + [0] * (len_prefix + len_text + 1)
     UpperCamelCase_									=     [1] * (len_prefix + len_text + 1) + [0]
     UpperCamelCase_									=     [1] + [1] * (len_prefix) + [0] * (len_text + 1)

     UpperCamelCase_									=     tokenizer(prefix_text + input_text ).token_type_ids
     UpperCamelCase_									=     tokenizer(''		,		prefix_text=prefix_text + input_text ).token_type_ids
     UpperCamelCase_									=     tokenizer(_UpperCAmelCase		,		prefix_text=_UpperCAmelCase ).token_type_ids
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertListEqual(_UpperCAmelCase		,		_UpperCAmelCase )




  @slow
  def    _UpperCAmelCase     (     self )			-> Tuple:
     UpperCamelCase_									=     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese' )

     UpperCamelCase_									=     tokenizer.encode('あンいワ' )
     UpperCamelCase_									=     tokenizer.encode(''		,		prefix_text='あンいワ' )
     UpperCamelCase_									=     tokenizer.encode('いワ'		,		prefix_text='あン' )

     self.assertEqual(tokenizer.decode(_UpperCAmelCase )		,		tokenizer.decode(_UpperCAmelCase ) )
     self.assertEqual(tokenizer.decode(_UpperCAmelCase )		,		tokenizer.decode(_UpperCAmelCase ) )
     self.assertNotEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertNotEqual(_UpperCAmelCase		,		_UpperCAmelCase )
     self.assertEqual(x_token_a[1]		,		x_token_a[-1] )  # SEG token
     self.assertEqual(x_token_a[1]		,		x_token_a[3] )  # SEG token




  @slow
  def    _UpperCAmelCase     (     self )			-> int:
     UpperCamelCase_									=     self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese' )

     UpperCamelCase_									=     [['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
     UpperCamelCase_									=     tokenizer(_UpperCAmelCase		,		padding=_UpperCAmelCase )
     UpperCamelCase_									=     tokenizer.batch_encode_plus(_UpperCAmelCase		,		padding=_UpperCAmelCase )

     # fmt: off
     UpperCamelCase_									=     [[35993, 8640, 25948, 35998, 30647, 35675, 35999, 35999], [35993, 10382, 9868, 35998, 30646, 9459, 30646, 35675]]
     UpperCamelCase_									=     [[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
     UpperCamelCase_									=     [[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
     # fmt: on
     self.assertListEqual(x_token.input_ids		,		_UpperCAmelCase )
     self.assertListEqual(x_token.token_type_ids		,		_UpperCAmelCase )
     self.assertListEqual(x_token.attention_mask		,		_UpperCAmelCase )
     self.assertListEqual(x_token_a.input_ids		,		_UpperCAmelCase )
     self.assertListEqual(x_token_a.token_type_ids		,		_UpperCAmelCase )
     self.assertListEqual(x_token_a.attention_mask		,		_UpperCAmelCase )




  def    _UpperCAmelCase     (     self )			-> Dict:
     pass




  def    _UpperCAmelCase     (     self )			-> Tuple:
     pass













import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


snake_case__      :	Optional[int]       	=      pytest.mark.integration






@pytest.mark.parametrize('path'    ,      ['paws', 'csv'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_dataset(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning')
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning')
@pytest.mark.parametrize('path'    ,      ['accuracy'])
def     _snake_case    (__lowercase    ,      __lowercase):
   inspect_metric(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     path + '.py'
   assert script_name in os.listdir(__lowercase)
   assert "__pycache__" not in os.listdir(__lowercase)






@pytest.mark.parametrize(
    'path, config_name, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_info(__lowercase    ,      config_name=__lowercase)
   assert info.config_name == config_name
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_config_info(__lowercase    ,      config_name=__lowercase)






@pytest.mark.parametrize(
    'path, expected'    ,      [
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_config_names(__lowercase)
   assert expected in config_names






@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'    ,      [
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert list(infos.keys()) == expected_configs
   UpperCamelCase_									=     expected_configs[0]
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits_in_first_config






@pytest.mark.parametrize(
    'path, expected_config, expected_splits'    ,      [
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     get_dataset_infos(__lowercase)
   assert expected_config in infos
   UpperCamelCase_									=     infos[expected_config]
   assert info.config_name == expected_config
   assert list(info.splits.keys()) == expected_splits






@pytest.mark.parametrize(
    'path, config_name, expected_exception'    ,      [
        ('paws', None, ValueError),
    ]    ,      )
def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   with pytest.raises(__lowercase):
      get_dataset_split_names(__lowercase    ,      config_name=__lowercase)





