import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin
@custom_tokenizers
class  A_			(							lowerCAmelCase__      ,							unittest.TestCase			):
  _SCREAMING_SNAKE_CASE     					=      BertJapaneseTokenizer
  _SCREAMING_SNAKE_CASE     					=      False
  _SCREAMING_SNAKE_CASE     					=      True

  def 		_UpperCAmelCase (		self			:   List[Any]							):
   super().setUp()

   __a							=	[
       "[UNK]",
       "[CLS]",
       "[SEP]",
       "こんにちは",
       "こん",
       "にちは",
       "ばんは",
       "##こん",
       "##にちは",
       "##ばんは",
       "世界",
       "##世界",
       "、",
       "##、",
       "。",
       "##。",
   ]

   __a							=	os.path.join(self.tmpdirname  ,				VOCAB_FILES_NAMES["vocab_file"]							)
   with open(self.vocab_file  ,				"w"  ,				encoding="utf-8"							) as vocab_writer:
    vocab_writer.write("".join([x + "\n" for x in vocab_tokens]							)							)

  def 		_UpperCAmelCase (		self			:   Dict  ,				__SCREAMING_SNAKE_CASE			:   Dict							):
   __a							=	"こんにちは、世界。 \nこんばんは、世界。"
   __a							=	"こんにちは 、 世界 。 こんばんは 、 世界 。"
   return input_text, output_text

  def 		_UpperCAmelCase (		self			:   Optional[int]  ,				__SCREAMING_SNAKE_CASE			:   Dict							):
   __a							,  __a							=	self.get_input_output_texts(__lowerCAmelCase							)
   __a							=	tokenizer.encode(__lowerCAmelCase  ,				add_special_tokens=__lowerCAmelCase							)
   __a							=	tokenizer.decode(__lowerCAmelCase  ,				clean_up_tokenization_spaces=__lowerCAmelCase							)
   return text, ids

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

  def 		_UpperCAmelCase (		self			:   List[str]							):
   pass  # TODO add if relevant

  def 		_UpperCAmelCase (		self			:   Any							):
   pass  # TODO add if relevant

  def 		_UpperCAmelCase (		self			:   List[Any]							):
   __a							=	self.tokenizer_class(self.vocab_file							)

   __a							=	tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"							)
   self.assertListEqual(__lowerCAmelCase  ,				["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
   self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)  ,				[3, 12, 10, 14, 4, 9, 12, 10, 14]							)

  def 		_UpperCAmelCase (		self			:   List[str]							):
   __a							=	self.tokenizer_class(self.vocab_file  ,				word_tokenizer_type="mecab"							)
   self.assertIsNotNone(__lowerCAmelCase							)

   __a							=	"こんにちは、世界。\nこんばんは、世界。"
   __a							=	tokenizer.tokenize(__lowerCAmelCase							)
   self.assertListEqual(__lowerCAmelCase  ,				["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
   self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)  ,				[3, 12, 10, 14, 4, 9, 12, 10, 14]							)

   __a							=	os.path.join(self.tmpdirname  ,				"tokenizer.bin"							)
   with open(__lowerCAmelCase  ,				"wb"							) as handle:
    pickle.dump(__lowerCAmelCase  ,				__lowerCAmelCase							)

   with open(__lowerCAmelCase  ,				"rb"							) as handle:
    __a							=	pickle.load(__lowerCAmelCase							)

   __a							=	tokenizer_new.tokenize(__lowerCAmelCase							)

   self.assertListEqual(__lowerCAmelCase  ,				__lowerCAmelCase							)

  def 		_UpperCAmelCase (		self			:   str							):
   __a							=	MecabTokenizer(mecab_dic="ipadic"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップルストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   List[str]							):


   try:
    __a							=	MecabTokenizer(mecab_dic="unidic_lite"							)
   except ModuleNotFoundError:
    return

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   Union[str, Any]							):


   try:
    __a							=	MecabTokenizer(mecab_dic="unidic"							)
   except ModuleNotFoundError:
    return

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   str							):
   __a							=	MecabTokenizer(do_lower_case=__lowerCAmelCase  ,				mecab_dic="ipadic"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップルストア", "で", "iphone", "8", "が", "発売", "さ", "れ", "た", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   Optional[int]							):


   try:
    __a							=	MecabTokenizer(
        do_lower_case=__lowerCAmelCase  ,				normalize_text=__lowerCAmelCase  ,				mecab_option="-d /usr/local/lib/mecab/dic/jumandic"							)
   except RuntimeError:
    # if dict doesn't exist in the system, previous code raises this error.
    return

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れた", "\u3000", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   Optional[Any]							):
   __a							=	MecabTokenizer(normalize_text=__lowerCAmelCase  ,				mecab_dic="ipadic"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["ｱｯﾌﾟﾙストア", "で", "iPhone", "８", "が", "発売", "さ", "れ", "た", "　", "。"]  ,				)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   List[Any]							):
   __a							=	self.tokenizer_class(self.vocab_file  ,				word_tokenizer_type="sudachi"							)
   self.assertIsNotNone(__lowerCAmelCase							)

   __a							=	"こんにちは、世界。\nこんばんは、世界。"
   __a							=	tokenizer.tokenize(__lowerCAmelCase							)
   self.assertListEqual(__lowerCAmelCase  ,				["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
   self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)  ,				[3, 12, 10, 14, 4, 9, 12, 10, 14]							)

   __a							=	os.path.join(self.tmpdirname  ,				"tokenizer.bin"							)
   with open(__lowerCAmelCase  ,				"wb"							) as handle:
    pickle.dump(__lowerCAmelCase  ,				__lowerCAmelCase							)

   with open(__lowerCAmelCase  ,				"rb"							) as handle:
    __a							=	pickle.load(__lowerCAmelCase							)

   __a							=	tokenizer_new.tokenize(__lowerCAmelCase							)

   self.assertListEqual(__lowerCAmelCase  ,				__lowerCAmelCase							)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   Optional[int]							):
   __a							=	SudachiTokenizer(sudachi_dict_type="core"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				[" ", "\t", "アップル", "ストア", "で", "iPhone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]  ,				)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   Dict							):
   __a							=	SudachiTokenizer(sudachi_dict_type="core"  ,				sudachi_split_mode="A"							)

   self.assertListEqual(tokenizer.tokenize("外国人参政権"							)  ,				["外国", "人", "参政", "権"]							)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   Optional[Any]							):
   __a							=	SudachiTokenizer(sudachi_dict_type="core"  ,				sudachi_split_mode="B"							)

   self.assertListEqual(tokenizer.tokenize("外国人参政権"							)  ,				["外国人", "参政権"]							)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   List[str]							):
   __a							=	SudachiTokenizer(sudachi_dict_type="core"  ,				sudachi_split_mode="C"							)

   self.assertListEqual(tokenizer.tokenize("外国人参政権"							)  ,				["外国人参政権"]							)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   int							):
   __a							=	SudachiTokenizer(do_lower_case=__lowerCAmelCase  ,				sudachi_dict_type="core"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				[" ", "\t", "アップル", "ストア", "で", "iphone", "8", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", " ", "。", " ", " "]  ,				)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   Union[str, Any]							):
   __a							=	SudachiTokenizer(normalize_text=__lowerCAmelCase  ,				sudachi_dict_type="core"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				[" ", "\t", "ｱｯﾌﾟﾙ", "ストア", "で", "iPhone", "８", " ", "が", " ", " ", "\n ", "発売", "さ", "れ", "た", "\u3000", "。", " ", " "]  ,				)

  @require_sudachi
  def 		_UpperCAmelCase (		self			:   int							):
   __a							=	SudachiTokenizer(trim_whitespace=__lowerCAmelCase  ,				sudachi_dict_type="core"							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れ", "た", "。"]  ,				)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   Any							):
   __a							=	self.tokenizer_class(self.vocab_file  ,				word_tokenizer_type="jumanpp"							)
   self.assertIsNotNone(__lowerCAmelCase							)

   __a							=	"こんにちは、世界。\nこんばんは、世界。"
   __a							=	tokenizer.tokenize(__lowerCAmelCase							)
   self.assertListEqual(__lowerCAmelCase  ,				["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]							)
   self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)  ,				[3, 12, 10, 14, 4, 9, 12, 10, 14]							)

   __a							=	os.path.join(self.tmpdirname  ,				"tokenizer.bin"							)
   with open(__lowerCAmelCase  ,				"wb"							) as handle:
    pickle.dump(__lowerCAmelCase  ,				__lowerCAmelCase							)

   with open(__lowerCAmelCase  ,				"rb"							) as handle:
    __a							=	pickle.load(__lowerCAmelCase							)

   __a							=	tokenizer_new.tokenize(__lowerCAmelCase							)

   self.assertListEqual(__lowerCAmelCase  ,				__lowerCAmelCase							)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   List[str]							):
   __a							=	JumanppTokenizer()

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iPhone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]  ,				)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   Dict							):
   __a							=	JumanppTokenizer(do_lower_case=__lowerCAmelCase							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iphone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]  ,				)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   str							):
   __a							=	JumanppTokenizer(normalize_text=__lowerCAmelCase							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["ｱ", "ｯ", "ﾌ", "ﾟ", "ﾙ", "ストア", "で", "iPhone", "８", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]  ,				)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   Optional[Any]							):
   __a							=	JumanppTokenizer(trim_whitespace=__lowerCAmelCase							)

   self.assertListEqual(
       tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "							)  ,				["アップル", "ストア", "で", "iPhone", "8", "が", "発売", "さ", "れた", "。"]  ,				)

  @require_jumanpp
  def 		_UpperCAmelCase (		self			:   List[Any]							):
   __a							=	JumanppTokenizer()

   self.assertListEqual(
       tokenizer.tokenize("ありがとうございますm(_ _)ｍ見つけるのが大変です。"							)  ,				["ありがとう", "ございます", "m(_ _)m", "見つける", "の", "が", "大変です", "。"]  ,				)

  def 		_UpperCAmelCase (		self			:   Optional[int]							):
   __a							=	["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]

   __a							=	{}
   for i, token in enumerate(__lowerCAmelCase							):
    __a							=	i
   __a							=	WordpieceTokenizer(vocab=__lowerCAmelCase  ,				unk_token="[UNK]"							)

   self.assertListEqual(tokenizer.tokenize(""							)  ,				[]							)

   self.assertListEqual(tokenizer.tokenize("こんにちは"							)  ,				["こんにちは"]							)

   self.assertListEqual(tokenizer.tokenize("こんばんは"							)  ,				["こん", "##ばんは"]							)

   self.assertListEqual(tokenizer.tokenize("こんばんは こんばんにちは こんにちは"							)  ,				["こん", "##ばんは", "[UNK]", "こんにちは"]							)

  def 		_UpperCAmelCase (		self			:   Dict							):
   __a							=	BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"							)
   __a							=	tokenizer.subword_tokenizer

   __a							=	subword_tokenizer.tokenize("国境 の 長い トンネル を 抜ける と 雪国 であった 。"							)
   self.assertListEqual(__lowerCAmelCase  ,				["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]							)

   __a							=	subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"							)
   self.assertListEqual(__lowerCAmelCase  ,				["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]							)

  def 		_UpperCAmelCase (		self			:   Optional[int]							):
   __a							=	self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"							)

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

   __a							=	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase							)
   __a							=	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase  ,				__lowerCAmelCase							)

   # 2 is for "[CLS]", 3 is for "[SEP]"
   assert encoded_sentence == [2] + text + [3]
   assert encoded_pair == [2] + text + [3] + text_a + [3]
@custom_tokenizers
class  A_			(							lowerCAmelCase__      ,							unittest.TestCase			):
  _SCREAMING_SNAKE_CASE     					=      BertJapaneseTokenizer
  _SCREAMING_SNAKE_CASE     					=      False

  def 		_UpperCAmelCase (		self			:   List[str]							):
   super().setUp()

   __a							=	["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

   __a							=	os.path.join(self.tmpdirname  ,				VOCAB_FILES_NAMES["vocab_file"]							)
   with open(self.vocab_file  ,				"w"  ,				encoding="utf-8"							) as vocab_writer:
    vocab_writer.write("".join([x + "\n" for x in vocab_tokens]							)							)

  def 		_UpperCAmelCase (		self			:   List[Any]  ,				**__SCREAMING_SNAKE_CASE			:   Dict							):
   return BertJapaneseTokenizer.from_pretrained(self.tmpdirname  ,				subword_tokenizer_type="character"  ,				**__lowerCAmelCase							)

  def 		_UpperCAmelCase (		self			:   List[Any]  ,				__SCREAMING_SNAKE_CASE			:   Any							):
   __a							=	"こんにちは、世界。 \nこんばんは、世界。"
   __a							=	"こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
   return input_text, output_text

  def 		_UpperCAmelCase (		self			:   Union[str, Any]							):
   pass  # TODO add if relevant

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

  def 		_UpperCAmelCase (		self			:   Dict							):
   pass  # TODO add if relevant

  def 		_UpperCAmelCase (		self			:   str							):
   __a							=	self.tokenizer_class(self.vocab_file  ,				subword_tokenizer_type="character"							)

   __a							=	tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"							)
   self.assertListEqual(
       __lowerCAmelCase  ,				["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]							)
   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)  ,				[3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]							)

  def 		_UpperCAmelCase (		self			:   List[Any]							):
   __a							=	["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

   __a							=	{}
   for i, token in enumerate(__lowerCAmelCase							):
    __a							=	i
   __a							=	CharacterTokenizer(vocab=__lowerCAmelCase  ,				unk_token="[UNK]"							)

   self.assertListEqual(tokenizer.tokenize(""							)  ,				[]							)

   self.assertListEqual(tokenizer.tokenize("こんにちは"							)  ,				["こ", "ん", "に", "ち", "は"]							)

   self.assertListEqual(tokenizer.tokenize("こんにちほ"							)  ,				["こ", "ん", "に", "ち", "[UNK]"]							)

  def 		_UpperCAmelCase (		self			:   Optional[Any]							):
   __a							=	self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"							)

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

   __a							=	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase							)
   __a							=	tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase  ,				__lowerCAmelCase							)

   # 2 is for "[CLS]", 3 is for "[SEP]"
   assert encoded_sentence == [2] + text + [3]
   assert encoded_pair == [2] + text + [3] + text_a + [3]
@custom_tokenizers
class  A_			(							unittest.TestCase			):

  def 		_UpperCAmelCase (		self			:   Optional[Any]							):
   __a							=	"cl-tohoku/bert-base-japanese"
   __a							=	AutoTokenizer.from_pretrained(__lowerCAmelCase							)
   self.assertIsInstance(__lowerCAmelCase  ,				__lowerCAmelCase							)
class  A_			(							unittest.TestCase			):

  def 		_UpperCAmelCase (		self			:   int							):
   __a							=	"cl-tohoku/bert-base-japanese"
   with self.assertLogs("transformers"  ,				level="WARNING"							) as cm:
    BertTokenizer.from_pretrained(__lowerCAmelCase							)
    self.assertTrue(
        cm.records[0].message.startswith(
            "The tokenizer class you load from this checkpoint is not the same type as the class this function"
            " is called from."							)							)
   __a							=	"bert-base-cased"
   with self.assertLogs("transformers"  ,				level="WARNING"							) as cm:
    BertJapaneseTokenizer.from_pretrained(__lowerCAmelCase							)
    self.assertTrue(
        cm.records[0].message.startswith(
            "The tokenizer class you load from this checkpoint is not the same type as the class this function"
            " is called from."							)							)



'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowercase        =    logging.get_logger(__name__)

__lowercase        =    {
    '''google/mobilenet_v1_1.0_224''': '''https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v1_0.75_192''': '''https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json''',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	List[str]						=			'''mobilenet_v1'''



			def __init__(  self			,       __lowerCAmelCase=3			,       __lowerCAmelCase=224			,       __lowerCAmelCase=1.0			,       __lowerCAmelCase=8			,       __lowerCAmelCase="relu6"			,       __lowerCAmelCase=True			,       __lowerCAmelCase=0.999			,       __lowerCAmelCase=0.02			,       __lowerCAmelCase=0.001			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


					super().__init__(**__lowerCAmelCase)

					if depth_multiplier <= 0:
							raise ValueError("""depth_multiplier must be greater than zero.""")

					lowerCAmelCase     =    num_channels
					lowerCAmelCase     =    image_size
					lowerCAmelCase     =    depth_multiplier
					lowerCAmelCase     =    min_depth
					lowerCAmelCase     =    hidden_act
					lowerCAmelCase     =    tf_padding
					lowerCAmelCase     =    classifier_dropout_prob
					lowerCAmelCase     =    initializer_range
					lowerCAmelCase     =    layer_norm_eps







class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Dict						=			version.parse('''1.11'''      )



			@property
			def 				a_			(  self):




					"""simple docstring"""


					return OrderedDict([("""pixel_values""", {0: """batch"""})])



			@property
			def 				a_			(  self):




					"""simple docstring"""


					if self.task == "image-classification":
							return OrderedDict([("""logits""", {0: """batch"""})])
					else:
							return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})])







			@property
			def 				a_			(  self):




					"""simple docstring"""


					return 1E-4




