"""simple docstring"""







import json
import os
import unittest

from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import (
    VOCAB_FILES_NAMES,
    GPTNeoXJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      _lowercase						(				__lowerCamelCase , unittest.TestCase					):
				lowerCamelCase__									=    GPTNeoXJapaneseTokenizer
				lowerCamelCase__									=    False
				lowerCamelCase__									=    {'do_clean_text': False, 'add_prefix_space': False}

				def     A	(       self    :      List[str]       ):


										'''simple docstring'''
										super().setUp()

										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>""",
										    """<|startoftext|>""",
										    """<|endoftext|>""",
										]
										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(_lowercase       )       )

				def     A	(       self    :      Any    ,      **_lowercase    :      Optional[Any]       ):


										'''simple docstring'''
										kwargs.update(self.special_tokens_map       )
										return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname    ,      **_lowercase       )

				def     A	(       self    :      str    ,      _lowercase    :      Dict       ):


										'''simple docstring'''
										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     A	(       self    :      List[Any]    ,      _lowercase    :      Union[str, Any]       ):


										'''simple docstring'''
										UpperCAmelCase__		, UpperCAmelCase__   		=						self.get_input_output_texts(_lowercase       )
										UpperCAmelCase__   		=						tokenizer.encode(_lowercase    ,      add_special_tokens=_lowercase       )
										UpperCAmelCase__   		=						tokenizer.decode(_lowercase    ,      clean_up_tokenization_spaces=_lowercase       )
										return text, ids

				def     A	(       self    :      List[str]       ):


										'''simple docstring'''
										pass  # TODO add if relevant

				def     A	(       self    :      Tuple       ):


										'''simple docstring'''
										pass  # TODO add if relevant

				def     A	(       self    :      str       ):


										'''simple docstring'''
										pass  # TODO add if relevant

				def     A	(       self    :      Any       ):


										'''simple docstring'''
										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(_lowercase       )
										self.assertListEqual(_lowercase    ,      _lowercase       )

										# 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(_lowercase       )
										self.assertListEqual(_lowercase    ,      _lowercase       )

										# Testing conversion to ids with special tokens
										UpperCAmelCase__   		=						tokens + [tokenizer.unk_token]
										UpperCAmelCase__   		=						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
										UpperCAmelCase__   		=						tokenizer.convert_tokens_to_ids(_lowercase       )
										self.assertListEqual(_lowercase    ,      _lowercase       )

				@slow
				def     A	(       self    :      Dict       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.tokenizer_class.from_pretrained("""abeja/gpt-neox-japanese-2.7b"""       )

										UpperCAmelCase__   		=						tokenizer.encode("""ありがとう。"""    ,      add_special_tokens=_lowercase       )
										UpperCAmelCase__   		=						tokenizer.encode("""どういたしまして。"""    ,      add_special_tokens=_lowercase       )

										UpperCAmelCase__   		=						tokenizer.build_inputs_with_special_tokens(_lowercase       )
										UpperCAmelCase__   		=						tokenizer.build_inputs_with_special_tokens(_lowercase    ,      _lowercase       )

										assert encoded_sentence == ids_a
										assert encoded_pair == ids_a + ids_a

				def     A	(       self    :      List[Any]       ):


										'''simple docstring'''
										pass

				def     A	(       self    :      Any       ):


										'''simple docstring'''
										pass


"""simple docstring"""







from __future__ import annotations


def 					a__ (						UpperCAmelCase__    :     int     )->		list[int]:
						assert (
						    isinstance(UpperCAmelCase__						,     UpperCAmelCase__     ) and mask > 0
						), f'mask needs to be positive integer, your input {mask}'
						UpperCAmelCase__   		=						[]
						UpperCAmelCase__   		=						mask

						while submask:
												all_submasks.append(UpperCAmelCase__     )
												UpperCAmelCase__   		=						(submask - 1) & mask

						return all_submasks


if __name__ == "__main__":
						import doctest

						doctest.testmod()

