

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 				SCREAMING_SNAKE_CASE__ (__snake_case		,	unittest.TestCase					):
    __lowerCamelCase						:	List[str]														=					GPTSanJapaneseTokenizer
    __lowerCamelCase						:	Union[str, Any]														=					False
    __lowerCamelCase						:	Optional[int]														=					{"""do_clean_text""": False, """add_prefix_space""": False}





    def 				snake_case_    (				self):
         super().setUp()

         # fmt: off
         lowercase__   :       List[Any]				=	['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
         lowercase__   :       Any				=	{'emoji': {'\ud83d\ude00': '<|emoji1|>'}, 'emoji_inv': {'<|emoji1|>': '\ud83d\ude00'}}  # 😀
         lowercase__   :       Optional[Any]				=	{'unk_token': '<unk>'}

         lowercase__   :       List[str]				=	os.path.join(self.tmpdirname						,       VOCAB_FILES_NAMES['vocab_file'])
         lowercase__   :       Union[str, Any]				=	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(a))





    def 				snake_case_    (				self						,       **a):
         kwargs.update(self.special_tokens_map)
         return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname						,       **a)





    def 				snake_case_    (				self						,       a):
         lowercase__   :       List[Any]				=	'こんにちは、世界。 \nこんばんは、㔺界。😀'
         lowercase__   :       Optional[Any]				=	'こんにちは、世界。 \nこんばんは、世界。😀'
         return input_text, output_text





    def 				snake_case_    (				self						,       a):
         lowercase__				,			lowercase__   :       List[str]				=	self.get_input_output_texts(a)
         lowercase__   :       Optional[Any]				=	tokenizer.encode(a						,       add_special_tokens=a)
         lowercase__   :       Optional[Any]				=	tokenizer.decode(a						,       clean_up_tokenization_spaces=a)
         return text, ids





    def 				snake_case_    (				self):
         pass  # TODO add if relevant





    def 				snake_case_    (				self):
         pass  # TODO add if relevant





    def 				snake_case_    (				self):
         pass  # TODO add if relevant





    def 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	self.get_tokenizer()

         # Testing tokenization
         lowercase__   :       Tuple				=	'こんにちは、世界。　こんばんは、㔺界。'
         lowercase__   :       Any				=	['こん', 'にちは', '、', '世界', '。', '<SP>', 'こん', 'ばんは', '、', '㔺界', '。']
         lowercase__   :       Optional[int]				=	tokenizer.tokenize(a)
         self.assertListEqual(a						,       a)

         # Testing conversion to ids without special tokens
         lowercase__   :       List[str]				=	[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
         lowercase__   :       Dict				=	tokenizer.convert_tokens_to_ids(a)
         self.assertListEqual(a						,       a)

         # Testing conversion to ids with special tokens
         lowercase__   :       Tuple				=	tokens + [tokenizer.unk_token]
         lowercase__   :       Optional[Any]				=	[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
         lowercase__   :       Tuple				=	tokenizer.convert_tokens_to_ids(a)
         self.assertListEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       Any				=	self.get_tokenizer()

         # Testing tokenization
         lowercase__   :       Dict				=	'こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'
         lowercase__   :       Dict				=	'こんにちは、、、、世界。こんばんは、、、、世界。'
         lowercase__   :       Optional[int]				=	tokenizer.encode(a)
         lowercase__   :       Union[str, Any]				=	tokenizer.decode(a)
         self.assertEqual(a						,       a)





    @slow
    def 				snake_case_    (				self):
         lowercase__   :       Optional[int]				=	self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

         # Testing tokenization
         lowercase__   :       List[Any]				=	'こんにちは、世界。'
         lowercase__   :       Tuple				=	'こんばんは、㔺界。😀'
         lowercase__   :       Tuple				=	'こんにちは、世界。こんばんは、世界。😀'
         lowercase__   :       List[Any]				=	tokenizer.encode(prefix_text + input_text)
         lowercase__   :       Any				=	tokenizer.encode(''						,       prefix_text=prefix_text + input_text)
         lowercase__   :       Optional[Any]				=	tokenizer.encode(a						,       prefix_text=a)
         lowercase__   :       Optional[Any]				=	tokenizer.decode(a)
         lowercase__   :       List[str]				=	tokenizer.decode(a)
         lowercase__   :       List[str]				=	tokenizer.decode(a)
         self.assertEqual(a						,       a)
         self.assertEqual(a						,       a)
         self.assertEqual(a						,       a)





    @slow
    def 				snake_case_    (				self):
         lowercase__   :       str				=	self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

         # Testing tokenization
         lowercase__   :       Optional[int]				=	'こんにちは、世界。'
         lowercase__   :       int				=	'こんばんは、㔺界。😀'

         lowercase__   :       Optional[int]				=	len(tokenizer.encode(a)) - 2
         lowercase__   :       Optional[int]				=	len(tokenizer.encode(a)) - 2

         lowercase__   :       int				=	[1] + [0] * (len_prefix + len_text + 1)
         lowercase__   :       List[Any]				=	[1] * (len_prefix + len_text + 1) + [0]
         lowercase__   :       Optional[Any]				=	[1] + [1] * (len_prefix) + [0] * (len_text + 1)

         lowercase__   :       Tuple				=	tokenizer(prefix_text + input_text).token_type_ids
         lowercase__   :       Optional[int]				=	tokenizer(''						,       prefix_text=prefix_text + input_text).token_type_ids
         lowercase__   :       Union[str, Any]				=	tokenizer(a						,       prefix_text=a).token_type_ids
         self.assertListEqual(a						,       a)
         self.assertListEqual(a						,       a)
         self.assertListEqual(a						,       a)





    @slow
    def 				snake_case_    (				self):
         lowercase__   :       List[str]				=	self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

         lowercase__   :       Tuple				=	tokenizer.encode('あンいワ')
         lowercase__   :       Any				=	tokenizer.encode(''						,       prefix_text='あンいワ')
         lowercase__   :       List[Any]				=	tokenizer.encode('いワ'						,       prefix_text='あン')

         self.assertEqual(tokenizer.decode(a)						,       tokenizer.decode(a))
         self.assertEqual(tokenizer.decode(a)						,       tokenizer.decode(a))
         self.assertNotEqual(a						,       a)
         self.assertNotEqual(a						,       a)
         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 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	self.tokenizer_class.from_pretrained('Tanrei/GPTSAN-japanese')

         lowercase__   :       str				=	[['武田信玄', 'は、'], ['織田信長', 'の配下の、']]
         lowercase__   :       Any				=	tokenizer(a						,       padding=a)
         lowercase__   :       Union[str, Any]				=	tokenizer.batch_encode_plus(a						,       padding=a)

         # fmt: off
         lowercase__   :       str				=	[[3_5993, 8640, 2_5948, 3_5998, 3_0647, 3_5675, 3_5999, 3_5999], [3_5993, 1_0382, 9868, 3_5998, 3_0646, 9459, 3_0646, 3_5675]]
         lowercase__   :       Any				=	[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
         lowercase__   :       Optional[int]				=	[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
         # fmt: on
         self.assertListEqual(x_token.input_ids						,       a)
         self.assertListEqual(x_token.token_type_ids						,       a)
         self.assertListEqual(x_token.attention_mask						,       a)
         self.assertListEqual(x_token_a.input_ids						,       a)
         self.assertListEqual(x_token_a.token_type_ids						,       a)
         self.assertListEqual(x_token_a.attention_mask						,       a)





    def 				snake_case_    (				self):
         # Intentionally convert some words to accommodate character fluctuations unique to Japanese
         pass





    def 				snake_case_    (				self):
         # tokenizer has no padding token
         pass




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


snake_case_        =			{'''configuration_encoder_decoder''': ['''EncoderDecoderConfig''']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''EncoderDecoderModel''']

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''TFEncoderDecoderModel''']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_        =			['''FlaxEncoderDecoderModel''']

if TYPE_CHECKING:
       from .configuration_encoder_decoder import EncoderDecoderConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_encoder_decoder import EncoderDecoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
       import sys

       snake_case_        =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

