


"""simple docstring"""

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__    (		_a      , unittest.TestCase     ):
      a			:  int           =		GPTSanJapaneseTokenizer
      a			:  List[Any]           =		False
      a			:  Tuple           =		{"""do_clean_text""": False, """add_prefix_space""": False}
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]				):






       '''simple docstring'''


       super().setUp()

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

       __lowercase						=						os.path.join(self.tmpdirname   ,							VOCAB_FILES_NAMES["""vocab_file"""]				)
       __lowercase						=						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 SCREAMING_SNAKE_CASE_						(		self						:						List[Any]   ,							**A_						:						int				):






       '''simple docstring'''


       kwargs.update(self.special_tokens_map				)
       return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname   ,							**A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]   ,							A_						:						Optional[Any]				):






       '''simple docstring'''


       __lowercase						=						"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
       __lowercase						=						"""こんにちは、世界。 \nこんばんは、世界。😀"""
       return input_text, output_text
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[Any]   ,							A_						:						Optional[int]				):






       '''simple docstring'''


       __lowercase				,		__lowercase						=						self.get_input_output_texts(A_				)
       __lowercase						=						tokenizer.encode(A_   ,							add_special_tokens=A_				)
       __lowercase						=						tokenizer.decode(A_   ,							clean_up_tokenization_spaces=A_				)
       return text, ids
      def SCREAMING_SNAKE_CASE_						(		self						:						Tuple				):






       '''simple docstring'''


       pass  # TODO add if relevant
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]				):






       '''simple docstring'''


       pass  # TODO add if relevant
      def SCREAMING_SNAKE_CASE_						(		self						:						str				):






       '''simple docstring'''


       pass  # TODO add if relevant
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[Any]				):






       '''simple docstring'''


       __lowercase						=						self.get_tokenizer()

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

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

       # Testing conversion to ids with special tokens
       __lowercase						=						tokens + [tokenizer.unk_token]
       __lowercase						=						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 1_9]
       __lowercase						=						tokenizer.convert_tokens_to_ids(A_				)
       self.assertListEqual(A_   ,							A_				)
      def SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


       __lowercase						=						self.get_tokenizer()

       # Testing tokenization
       __lowercase						=						"""こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
       __lowercase						=						"""こんにちは、、、、世界。こんばんは、、、、世界。"""
       __lowercase						=						tokenizer.encode(A_				)
       __lowercase						=						tokenizer.decode(A_				)
       self.assertEqual(A_   ,							A_				)
      @slow
      def SCREAMING_SNAKE_CASE_						(		self						:						str				):






       '''simple docstring'''


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

       # Testing tokenization
       __lowercase						=						"""こんにちは、世界。"""
       __lowercase						=						"""こんばんは、㔺界。😀"""
       __lowercase						=						"""こんにちは、世界。こんばんは、世界。😀"""
       __lowercase						=						tokenizer.encode(prefix_text + input_text				)
       __lowercase						=						tokenizer.encode(""""""   ,							prefix_text=prefix_text + input_text				)
       __lowercase						=						tokenizer.encode(A_   ,							prefix_text=A_				)
       __lowercase						=						tokenizer.decode(A_				)
       __lowercase						=						tokenizer.decode(A_				)
       __lowercase						=						tokenizer.decode(A_				)
       self.assertEqual(A_   ,							A_				)
       self.assertEqual(A_   ,							A_				)
       self.assertEqual(A_   ,							A_				)
      @slow
      def SCREAMING_SNAKE_CASE_						(		self						:						Optional[int]				):






       '''simple docstring'''


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

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

       __lowercase						=						len(tokenizer.encode(A_				)				) - 2
       __lowercase						=						len(tokenizer.encode(A_				)				) - 2

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

       __lowercase						=						tokenizer(prefix_text + input_text				).token_type_ids
       __lowercase						=						tokenizer(""""""   ,							prefix_text=prefix_text + input_text				).token_type_ids
       __lowercase						=						tokenizer(A_   ,							prefix_text=A_				).token_type_ids
       self.assertListEqual(A_   ,							A_				)
       self.assertListEqual(A_   ,							A_				)
       self.assertListEqual(A_   ,							A_				)
      @slow
      def SCREAMING_SNAKE_CASE_						(		self						:						Union[str, Any]				):






       '''simple docstring'''


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

       __lowercase						=						tokenizer.encode("""あンいワ"""				)
       __lowercase						=						tokenizer.encode(""""""   ,							prefix_text="""あンいワ"""				)
       __lowercase						=						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 SCREAMING_SNAKE_CASE_						(		self						:						List[str]				):






       '''simple docstring'''


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

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

       # fmt: off
       __lowercase						=						[[3_5_9_9_3, 8_6_4_0, 2_5_9_4_8, 3_5_9_9_8, 3_0_6_4_7, 3_5_6_7_5, 3_5_9_9_9, 3_5_9_9_9], [3_5_9_9_3, 1_0_3_8_2, 9_8_6_8, 3_5_9_9_8, 3_0_6_4_6, 9_4_5_9, 3_0_6_4_6, 3_5_6_7_5]]
       __lowercase						=						[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
       __lowercase						=						[[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 SCREAMING_SNAKE_CASE_						(		self						:						int				):






       '''simple docstring'''


       pass






      def SCREAMING_SNAKE_CASE_						(		self						:						List[Any]				):






       '''simple docstring'''


       pass




"""simple docstring"""

from PIL import Image


def lowerCAmelCase_   (					UpperCamelCase__						:			Image					, UpperCamelCase__						:			int			):






 """simple docstring"""







 __lowercase						=						(259 * (level + 255)) / (255 * (259 - level))

 def contrast(UpperCamelCase__						:			int			) -> int:
  return int(128 + factor * (c - 128)			)

 return img.point(UpperCamelCase__			)


if __name__ == "__main__":
       # Load image
       with Image.open("image_data/lena.jpg") as img:
              # Change contrast to 170
              UpperCAmelCase__					=change_contrast(img, 170)
              cont_img.save("image_data/lena_high_contrast.png", format="png")
