




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     lowerCamelCase__(					__lowerCamelCase ,     unittest.TestCase):
      UpperCAmelCase__      :	Tuple    		=   GPTSanJapaneseTokenizer
      UpperCAmelCase__      :	Optional[Any]    		=   False
      UpperCAmelCase__      :	Optional[Any]    		=   {"do_clean_text": False, "add_prefix_space": False}
      def 			lowerCAmelCase__						(				self: str   ):
             super().setUp()

             # fmt: off
             __lowerCamelCase   =						["""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
             __lowerCamelCase   =						{"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
             __lowerCamelCase   =						{"""unk_token""": """<unk>"""}

             __lowerCamelCase   =						os.path.join(self.tmpdirname    ,       VOCAB_FILES_NAMES["""vocab_file"""]   )
             __lowerCamelCase   =						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 			lowerCAmelCase__						(				self: Union[str, Any]    ,       **UpperCamelCase_: List[Any]   ):
             kwargs.update(self.special_tokens_map   )
             return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname    ,       **__A   )
      def 			lowerCAmelCase__						(				self: Any    ,       UpperCamelCase_: Dict   ):
             __lowerCamelCase   =						"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
             __lowerCamelCase   =						"""こんにちは、世界。 \nこんばんは、世界。😀"""
             return input_text, output_text
      def 			lowerCAmelCase__						(				self: Union[str, Any]    ,       UpperCamelCase_: Any   ):
             __lowerCamelCase,   __lowerCamelCase   =						self.get_input_output_texts(__A   )
             __lowerCamelCase   =						tokenizer.encode(__A    ,       add_special_tokens=__A   )
             __lowerCamelCase   =						tokenizer.decode(__A    ,       clean_up_tokenization_spaces=__A   )
             return text, ids
      def 			lowerCAmelCase__						(				self: int   ):
             pass  # TODO add if relevant
      def 			lowerCAmelCase__						(				self: Union[str, Any]   ):
             pass  # TODO add if relevant
      def 			lowerCAmelCase__						(				self: Optional[int]   ):
             pass  # TODO add if relevant
      def 			lowerCAmelCase__						(				self: Optional[int]   ):
             __lowerCamelCase   =						self.get_tokenizer()

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

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

             # Testing conversion to ids with special tokens
             __lowerCamelCase   =						tokens + [tokenizer.unk_token]
             __lowerCamelCase   =						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
             __lowerCamelCase   =						tokenizer.convert_tokens_to_ids(__A   )
             self.assertListEqual(__A    ,       __A   )
      def 			lowerCAmelCase__						(				self: Dict   ):
             __lowerCamelCase   =						self.get_tokenizer()

             # Testing tokenization
             __lowerCamelCase   =						"""こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
             __lowerCamelCase   =						"""こんにちは、、、、世界。こんばんは、、、、世界。"""
             __lowerCamelCase   =						tokenizer.encode(__A   )
             __lowerCamelCase   =						tokenizer.decode(__A   )
             self.assertEqual(__A    ,       __A   )
      @slow
      def 			lowerCAmelCase__						(				self: Any   ):
             __lowerCamelCase   =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

             # Testing tokenization
             __lowerCamelCase   =						"""こんにちは、世界。"""
             __lowerCamelCase   =						"""こんばんは、㔺界。😀"""
             __lowerCamelCase   =						"""こんにちは、世界。こんばんは、世界。😀"""
             __lowerCamelCase   =						tokenizer.encode(prefix_text + input_text   )
             __lowerCamelCase   =						tokenizer.encode(""""""    ,       prefix_text=prefix_text + input_text   )
             __lowerCamelCase   =						tokenizer.encode(__A    ,       prefix_text=__A   )
             __lowerCamelCase   =						tokenizer.decode(__A   )
             __lowerCamelCase   =						tokenizer.decode(__A   )
             __lowerCamelCase   =						tokenizer.decode(__A   )
             self.assertEqual(__A    ,       __A   )
             self.assertEqual(__A    ,       __A   )
             self.assertEqual(__A    ,       __A   )
      @slow
      def 			lowerCAmelCase__						(				self: Optional[Any]   ):
             __lowerCamelCase   =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

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

             __lowerCamelCase   =						len(tokenizer.encode(__A   )   ) - 2
             __lowerCamelCase   =						len(tokenizer.encode(__A   )   ) - 2

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

             __lowerCamelCase   =						tokenizer(prefix_text + input_text   ).token_type_ids
             __lowerCamelCase   =						tokenizer(""""""    ,       prefix_text=prefix_text + input_text   ).token_type_ids
             __lowerCamelCase   =						tokenizer(__A    ,       prefix_text=__A   ).token_type_ids
             self.assertListEqual(__A    ,       __A   )
             self.assertListEqual(__A    ,       __A   )
             self.assertListEqual(__A    ,       __A   )
      @slow
      def 			lowerCAmelCase__						(				self: Any   ):
             __lowerCamelCase   =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

             __lowerCamelCase   =						tokenizer.encode("""あンいワ"""   )
             __lowerCamelCase   =						tokenizer.encode(""""""    ,       prefix_text="""あンいワ"""   )
             __lowerCamelCase   =						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 			lowerCAmelCase__						(				self: List[str]   ):
             __lowerCamelCase   =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""   )

             __lowerCamelCase   =						[["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
             __lowerCamelCase   =						tokenizer(__A    ,       padding=__A   )
             __lowerCamelCase   =						tokenizer.batch_encode_plus(__A    ,       padding=__A   )

             # fmt: off
             __lowerCamelCase   =						[[3_59_93, 86_40, 2_59_48, 3_59_98, 3_06_47, 3_56_75, 3_59_99, 3_59_99], [3_59_93, 1_03_82, 98_68, 3_59_98, 3_06_46, 94_59, 3_06_46, 3_56_75]]
             __lowerCamelCase   =						[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
             __lowerCamelCase   =						[[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 			lowerCAmelCase__						(				self: str   ):
             # Intentionally convert some words to accommodate character fluctuations unique to Japanese
             pass




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








'''simple docstring'''
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
    'split_dict'				,  [
        SplitDict(),
        SplitDict({'train': SplitInfo(name='train'				,  num_bytes=1337				,  num_examples=42				,  dataset_name='my_dataset'     )}     ),
        SplitDict({'train': SplitInfo(name='train'				,  num_bytes=1337				,  num_examples=42     )}     ),
        SplitDict({'train': SplitInfo()}     ),
    ]				,  )
def 				lowercase__   (   __lowercase						:  SplitDict     ) ->      int:



       """simple docstring"""






       __UpperCamelCase       =  split_dict._to_yaml_list()
       assert len(__lowercase     ) == len(__lowercase     )
       __UpperCamelCase       =  SplitDict._from_yaml_list(__lowercase     )
       for split_name, split_info in split_dict.items():
              # dataset_name field is deprecated, and is therefore not part of the YAML dump
              __UpperCamelCase       =  None
              # the split name of split_dict takes over the name of the split info object
              __UpperCamelCase       =  split_name
       assert split_dict == reloaded


@pytest.mark.parametrize(
    'split_info'				,  [SplitInfo(), SplitInfo(dataset_name=__lowercase     ), SplitInfo(dataset_name='my_dataset'     )]     )
def 				lowercase__   (   __lowercase						:  Dict     ) ->      Any:



       """simple docstring"""






       __UpperCamelCase       =  asdict(SplitDict({'train': split_info}     )     )
       assert "dataset_name" in split_dict_asdict["train"]
       assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name
