

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  a     (		UpperCAmelCase							,       unittest.TestCase ):
						_lowercase			  =	GPTNeoXJapaneseTokenizer
						_lowercase			  =	False
						_lowercase			  =	{"do_clean_text": False, "add_prefix_space": False}


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										super().setUp()

										_UpperCAmelCase				:						str       						=			[
										    "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				:						Optional[Any]       						=			{"emoji": {"\ud83d\ude00": "<|emoji1|>"}, "emoji_inv": {"<|emoji1|>": "\ud83d\ude00"}}  # 😀
										_UpperCAmelCase				:						int       						=			{"unk_token": "<unk>"}

										_UpperCAmelCase				:						Dict       						=			os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES["vocab_file"]		)
										_UpperCAmelCase				:						int       						=			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 				_UpperCAmelCase (				self  ,    **A_		):







										'''simple docstring'''


										kwargs.update(self.special_tokens_map		)
										return GPTNeoXJapaneseTokenizer.from_pretrained(self.tmpdirname  ,    **A_		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[Any]       						=			"こんにちは、世界。 \nこんばんは、㔺界。😀"
										_UpperCAmelCase				:						Tuple       						=			"こんにちは、世界。 \nこんばんは、世界。😀"
										return input_text, output_text


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase						,							_UpperCAmelCase				:						Optional[int]       						=			self.get_input_output_texts(A_		)
										_UpperCAmelCase				:						Optional[Any]       						=			tokenizer.encode(A_  ,    add_special_tokens=A_		)
										_UpperCAmelCase				:						Union[str, Any]       						=			tokenizer.decode(A_  ,    clean_up_tokenization_spaces=A_		)
										return text, ids


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										pass  # TODO add if relevant


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										pass  # TODO add if relevant


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										pass  # TODO add if relevant


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										_UpperCAmelCase				:						Tuple       						=			self.get_tokenizer()

										# Testing tokenization
										_UpperCAmelCase				:						str       						=			"こんにちは、世界。　こんばんは、㔺界。"
										_UpperCAmelCase				:						str       						=			["こん", "にちは", "、", "世界", "。", "<SP>", "こん", "ばんは", "、", "㔺界", "。"]
										_UpperCAmelCase				:						List[Any]       						=			tokenizer.tokenize(A_		)
										self.assertListEqual(A_  ,    A_		)

										# Testing conversion to ids without special tokens
										_UpperCAmelCase				:						Optional[Any]       						=			[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
										_UpperCAmelCase				:						Union[str, Any]       						=			tokenizer.convert_tokens_to_ids(A_		)
										self.assertListEqual(A_  ,    A_		)

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


						@slow
						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										_UpperCAmelCase				:						List[str]       						=			self.tokenizer_class.from_pretrained("abeja/gpt-neox-japanese-2.7b"		)

										_UpperCAmelCase				:						str       						=			tokenizer.encode("ありがとう。"  ,    add_special_tokens=A_		)
										_UpperCAmelCase				:						Union[str, Any]       						=			tokenizer.encode("どういたしまして。"  ,    add_special_tokens=A_		)

										_UpperCAmelCase				:						Optional[int]       						=			tokenizer.build_inputs_with_special_tokens(A_		)
										_UpperCAmelCase				:						Optional[Any]       						=			tokenizer.build_inputs_with_special_tokens(A_  ,    A_		)

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


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										pass





						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										pass





from hashlib import mda, shaaaa

SCREAMING_SNAKE_CASE_						=					(shaaaa, mda)

class  a     :


						def __init__(				self  ,    A_ = 8		):







										'''simple docstring'''


										_UpperCAmelCase				:						Any       						=			0B0
										_UpperCAmelCase				:						Optional[Any]       						=			size


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[Any]       						=			self.hash_(A_		)
										self.bitarray |= h


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						int       						=			self.hash_(A_		)
										return (h & self.bitarray) == h


						def __contains__(				self  ,    A_		):







										'''simple docstring'''


										return self.exists(A_		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Optional[int]       						=			bin(A_		)[2:]
										return res.zfill(self.size		)


						@property
						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										return self.format_bin(self.bitarray		)


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			0B0
										for func in HASH_FUNCTIONS:
														_UpperCAmelCase				:						str       						=			(
														    int.from_bytes(func(value.encode()		).digest()  ,    "little"		) % self.size
														)
														res |= 2**position
										return res


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										return self.format_bin(self.hash_(A_		)		)





						@property
						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			bin(self.bitarray		).count("1"		)
										return (n_ones / self.size) ** len(A_		)


