





'''simple docstring'''



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       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						str      =   BertJapaneseTokenizer
     UpperCAmelCase__       :						Optional[Any]      =   False
     UpperCAmelCase__       :						List[Any]      =   True

     def 	UpperCamelCase(					self	):
       super().setUp()

       _snake_case     		=				[
           "[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",
           "、",
           "##、",
           "。",
           "##。",
       ]

       _snake_case     		=				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						,   lowerCamelCase	):
       _snake_case     		=				"こんにちは、世界。 \nこんばんは、世界。"
       _snake_case     		=				"こんにちは 、 世界 。 こんばんは 、 世界 。"
       return input_text, output_text

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       _snake_case		,		_snake_case     		=				self.get_input_output_texts(lowerCamelCase	)
       _snake_case     		=				tokenizer.encode(lowerCamelCase						,   add_special_tokens=lowerCamelCase	)
       _snake_case     		=				tokenizer.decode(lowerCamelCase						,   clean_up_tokenization_spaces=lowerCamelCase	)
       return text, ids

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file	)

       _snake_case     		=				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	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file						,   word_tokenizer_type="mecab"	)
       self.assertIsNotNone(lowerCamelCase	)

       _snake_case     		=				"こんにちは、世界。\nこんばんは、世界。"
       _snake_case     		=				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]	)

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

       with open(lowerCamelCase						,   "rb"	) as handle:
         _snake_case     		=				pickle.load(lowerCamelCase	)

       _snake_case     		=				tokenizer_new.tokenize(lowerCamelCase	)

       self.assertListEqual(lowerCamelCase						,   lowerCamelCase	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				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	):
       try:
         _snake_case     		=				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	):
       try:
         _snake_case     		=				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	):
       _snake_case     		=				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	):
       try:
         _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file						,   word_tokenizer_type="sudachi"	)
       self.assertIsNotNone(lowerCamelCase	)

       _snake_case     		=				"こんにちは、世界。\nこんばんは、世界。"
       _snake_case     		=				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]	)

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

       with open(lowerCamelCase						,   "rb"	) as handle:
         _snake_case     		=				pickle.load(lowerCamelCase	)

       _snake_case     		=				tokenizer_new.tokenize(lowerCamelCase	)

       self.assertListEqual(lowerCamelCase						,   lowerCamelCase	)

     @require_sudachi
     def 	UpperCamelCase(					self	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file						,   word_tokenizer_type="jumanpp"	)
       self.assertIsNotNone(lowerCamelCase	)

       _snake_case     		=				"こんにちは、世界。\nこんばんは、世界。"
       _snake_case     		=				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]	)

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

       with open(lowerCamelCase						,   "rb"	) as handle:
         _snake_case     		=				pickle.load(lowerCamelCase	)

       _snake_case     		=				tokenizer_new.tokenize(lowerCamelCase	)

       self.assertListEqual(lowerCamelCase						,   lowerCamelCase	)

     @require_jumanpp
     def 	UpperCamelCase(					self	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				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	):
       _snake_case     		=				["[UNK]", "[CLS]", "[SEP]", "こんにちは", "こん", "にちは", "ばんは", "##こん", "##にちは", "##ばんは"]

       _snake_case     		=				{}
       for i, token in enumerate(lowerCamelCase	):
         _snake_case     		=				i
       _snake_case     		=				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	):
       _snake_case     		=				BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"	)
       _snake_case     		=				tokenizer.subword_tokenizer

       _snake_case     		=				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", "▁。"]	)

       _snake_case     		=				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	):
       _snake_case     		=				self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"	)

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

       _snake_case     		=				tokenizer.build_inputs_with_special_tokens(lowerCamelCase	)
       _snake_case     		=				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       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						Optional[Any]      =   BertJapaneseTokenizer
     UpperCAmelCase__       :						List[str]      =   False

     def 	UpperCamelCase(					self	):
       super().setUp()

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

       _snake_case     		=				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						,   **lowerCamelCase	):
       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname						,   subword_tokenizer_type="character"						,   **lowerCamelCase	)

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       _snake_case     		=				"こんにちは、世界。 \nこんばんは、世界。"
       _snake_case     		=				"こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
       return input_text, output_text

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       pass  # TODO add if relevant

     def 	UpperCamelCase(					self	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file						,   subword_tokenizer_type="character"	)

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

       _snake_case     		=				{}
       for i, token in enumerate(lowerCamelCase	):
         _snake_case     		=				i
       _snake_case     		=				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	):
       _snake_case     		=				self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"	)

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

       _snake_case     		=				tokenizer.build_inputs_with_special_tokens(lowerCamelCase	)
       _snake_case     		=				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       __SCREAMING_SNAKE_CASE	(						unittest.TestCase			):



     '''simple docstring'''






     def 	UpperCamelCase(					self	):
       _snake_case     		=				"cl-tohoku/bert-base-japanese"
       _snake_case     		=				AutoTokenizer.from_pretrained(lowerCamelCase	)
       self.assertIsInstance(lowerCamelCase						,   lowerCamelCase	)







class       __SCREAMING_SNAKE_CASE	(						unittest.TestCase			):



     '''simple docstring'''






     def 	UpperCamelCase(					self	):
       _snake_case     		=				"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."	)	)
       _snake_case     		=				"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 ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__magic_name__   :						Any    =			logging.get_logger(__name__)

__magic_name__   :						Dict    =			{
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}


class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    __UpperCamelCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						List[str]      =   '''bit'''
     UpperCAmelCase__       :						Union[str, Any]      =   ['''preactivation''', '''bottleneck''']
     UpperCAmelCase__       :						int      =   ['''SAME''', '''VALID''']

     def __init__(					self						,   lowerCamelCase=3						,   lowerCamelCase=64						,   lowerCamelCase=[256, 512, 1_024, 2_048]						,   lowerCamelCase=[3, 4, 6, 3]						,   lowerCamelCase="preactivation"						,   lowerCamelCase="relu"						,   lowerCamelCase=None						,   lowerCamelCase=32						,   lowerCamelCase=0.0						,   lowerCamelCase=False						,   lowerCamelCase=32						,   lowerCamelCase=1						,   lowerCamelCase=None						,   lowerCamelCase=None						,   **lowerCamelCase						,   ):
       super().__init__(**lowerCamelCase	)
       if layer_type not in self.layer_types:
         raise ValueError(F'''layer_type={layer_type} is not one of {",".join(self.layer_types	)}'''	)
       if global_padding is not None:
         if global_padding.upper() in self.supported_padding:
           _snake_case     		=				global_padding.upper()
         else:
           raise ValueError(F'''Padding strategy {global_padding} not supported'''	)
       _snake_case     		=				num_channels
       _snake_case     		=				embedding_size
       _snake_case     		=				hidden_sizes
       _snake_case     		=				depths
       _snake_case     		=				layer_type
       _snake_case     		=				hidden_act
       _snake_case     		=				global_padding
       _snake_case     		=				num_groups
       _snake_case     		=				drop_path_rate
       _snake_case     		=				embedding_dynamic_padding
       _snake_case     		=				output_stride
       _snake_case     		=				width_factor

       _snake_case     		=				["stem"] + [F'''stage{idx}''' for idx in range(1						,   len(lowerCamelCase	) + 1	)]
       _snake_case		,		_snake_case     		=				get_aligned_output_features_output_indices(
           out_features=lowerCamelCase						,   out_indices=lowerCamelCase						,   stage_names=self.stage_names	)


