

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__						(					snake_case							,	unittest.TestCase			):
			"""simple docstring"""







			__lowerCamelCase        =       GPTSanJapaneseTokenizer
			__lowerCamelCase        =       False
			__lowerCamelCase        =       {'do_clean_text': False, 'add_prefix_space': False}


			def      UpperCamelCase		(    self       )  ->						Dict:
							'''simple docstring'''






							super().setUp()

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

							A__        =			os.path.join(self.tmpdirname      ,      VOCAB_FILES_NAMES["vocab_file"]       )
							A__        =			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      UpperCamelCase		(    self      ,      **lowercase       )  ->						Dict:
							'''simple docstring'''






							kwargs.update(self.special_tokens_map       )
							return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname      ,      **lowercase       )


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Any:
							'''simple docstring'''






							A__        =			"こんにちは、世界。 \nこんばんは、㔺界。😀"
							A__        =			"こんにちは、世界。 \nこんばんは、世界。😀"
							return input_text, output_text


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Tuple:
							'''simple docstring'''






							A__    ,				A__        =			self.get_input_output_texts(lowercase       )
							A__        =			tokenizer.encode(lowercase      ,      add_special_tokens=lowercase       )
							A__        =			tokenizer.decode(lowercase      ,      clean_up_tokenization_spaces=lowercase       )
							return text, ids


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							pass  # TODO add if relevant


			def      UpperCamelCase		(    self       )  ->						Any:
							'''simple docstring'''






							pass  # TODO add if relevant


			def      UpperCamelCase		(    self       )  ->						Any:
							'''simple docstring'''






							pass  # TODO add if relevant


			def      UpperCamelCase		(    self       )  ->						List[str]:
							'''simple docstring'''






							A__        =			self.get_tokenizer()

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

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

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


			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							A__        =			self.get_tokenizer()

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


			@slow
			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






							A__        =			self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"       )

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


			@slow
			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							A__        =			self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"       )

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

							A__        =			len(tokenizer.encode(lowercase       )       ) - 2
							A__        =			len(tokenizer.encode(lowercase       )       ) - 2

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

							A__        =			tokenizer(prefix_text + input_text       ).token_type_ids
							A__        =			tokenizer(""      ,      prefix_text=prefix_text + input_text       ).token_type_ids
							A__        =			tokenizer(lowercase      ,      prefix_text=lowercase       ).token_type_ids
							self.assertListEqual(lowercase      ,      lowercase       )
							self.assertListEqual(lowercase      ,      lowercase       )
							self.assertListEqual(lowercase      ,      lowercase       )


			@slow
			def      UpperCamelCase		(    self       )  ->						Dict:
							'''simple docstring'''






							A__        =			self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"       )

							A__        =			tokenizer.encode("あンいワ"       )
							A__        =			tokenizer.encode(""      ,      prefix_text="あンいワ"       )
							A__        =			tokenizer.encode("いワ"      ,      prefix_text="あン"       )

							self.assertEqual(tokenizer.decode(lowercase       )      ,      tokenizer.decode(lowercase       )       )
							self.assertEqual(tokenizer.decode(lowercase       )      ,      tokenizer.decode(lowercase       )       )
							self.assertNotEqual(lowercase      ,      lowercase       )
							self.assertNotEqual(lowercase      ,      lowercase       )
							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       )  ->						Any:
							'''simple docstring'''






							A__        =			self.tokenizer_class.from_pretrained("Tanrei/GPTSAN-japanese"       )

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

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


			def      UpperCamelCase		(    self       )  ->						Optional[int]:
							'''simple docstring'''






							pass


			def      UpperCamelCase		(    self       )  ->						Tuple:
							'''simple docstring'''






							pass




import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


lowerCAmelCase__	   = logging.get_logger(__name__)

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      *lowercase      ,      **lowercase       )  ->						None:
							'''simple docstring'''






							warnings.warn(
							    "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use CLIPImageProcessor instead."      ,      lowercase      ,      )
							super().__init__(*lowercase      ,      **lowercase       )

