

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__ (__lowercase		,	unittest.TestCase					):
    __lowerCamelCase						:	List[Any]														=					BertJapaneseTokenizer
    __lowerCamelCase						:	Any														=					False
    __lowerCamelCase						:	List[Any]														=					True





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

         lowercase__   :       int				=	[
             """[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""",
             """、""",
             """##、""",
             """。""",
             """##。""",
         ]

         lowercase__   :       Optional[Any]				=	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 				snake_case_    (				self						,       a):
         lowercase__   :       Optional[int]				=	"""こんにちは、世界。 \nこんばんは、世界。"""
         lowercase__   :       str				=	"""こんにちは 、 世界 。 こんばんは 、 世界 。"""
         return input_text, output_text





    def 				snake_case_    (				self						,       a):
         lowercase__   :       List[str]				=	self.get_input_output_texts(a)
         lowercase__   :       List[str]				=	tokenizer.encode(a						,       add_special_tokens=a)
         lowercase__   :       Optional[int]				=	tokenizer.decode(a						,       clean_up_tokenization_spaces=a)
         return text, ids





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





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





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





    def 				snake_case_    (				self):
         lowercase__   :       Optional[int]				=	self.tokenizer_class(self.vocab_file)

         lowercase__   :       str				=	tokenizer.tokenize('こんにちは、世界。\nこんばんは、世界。')
         self.assertListEqual(a						,       ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。'])
         self.assertListEqual(tokenizer.convert_tokens_to_ids(a)						,       [3, 12, 10, 14, 4, 9, 12, 10, 14])





    def 				snake_case_    (				self):
         lowercase__   :       Union[str, Any]				=	self.tokenizer_class(self.vocab_file						,       word_tokenizer_type='mecab')
         self.assertIsNotNone(a)

         lowercase__   :       int				=	"""こんにちは、世界。\nこんばんは、世界。"""
         lowercase__   :       List[str]				=	tokenizer.tokenize(a)
         self.assertListEqual(a						,       ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。'])
         self.assertListEqual(tokenizer.convert_tokens_to_ids(a)						,       [3, 12, 10, 14, 4, 9, 12, 10, 14])

         lowercase__   :       Optional[int]				=	os.path.join(self.tmpdirname						,       'tokenizer.bin')
         with open(a						,       'wb') as handle:
              pickle.dump(a						,       a)

         with open(a						,       'rb') as handle:
              lowercase__   :       Tuple				=	pickle.load(a)

         lowercase__   :       Dict				=	tokenizer_new.tokenize(a)

         self.assertListEqual(a						,       a)





    def 				snake_case_    (				self):
         lowercase__   :       Tuple				=	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 				snake_case_    (				self):

         try:
              lowercase__   :       List[str]				=	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 				snake_case_    (				self):

         try:
              lowercase__   :       Optional[Any]				=	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 				snake_case_    (				self):
         lowercase__   :       str				=	MecabTokenizer(do_lower_case=a						,       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 				snake_case_    (				self):

         try:
              lowercase__   :       Optional[Any]				=	MecabTokenizer(
                  do_lower_case=a						,       normalize_text=a						,       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 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	MecabTokenizer(normalize_text=a						,       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 				snake_case_    (				self):
         lowercase__   :       str				=	self.tokenizer_class(self.vocab_file						,       word_tokenizer_type='sudachi')
         self.assertIsNotNone(a)

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

         lowercase__   :       Tuple				=	os.path.join(self.tmpdirname						,       'tokenizer.bin')
         with open(a						,       'wb') as handle:
              pickle.dump(a						,       a)

         with open(a						,       'rb') as handle:
              lowercase__   :       int				=	pickle.load(a)

         lowercase__   :       str				=	tokenizer_new.tokenize(a)

         self.assertListEqual(a						,       a)





    @require_sudachi
    def 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	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 				snake_case_    (				self):
         lowercase__   :       str				=	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 				snake_case_    (				self):
         lowercase__   :       Dict				=	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 				snake_case_    (				self):
         lowercase__   :       Optional[int]				=	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 				snake_case_    (				self):
         lowercase__   :       int				=	SudachiTokenizer(do_lower_case=a						,       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 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	SudachiTokenizer(normalize_text=a						,       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 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	SudachiTokenizer(trim_whitespace=a						,       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 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	self.tokenizer_class(self.vocab_file						,       word_tokenizer_type='jumanpp')
         self.assertIsNotNone(a)

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

         lowercase__   :       Tuple				=	os.path.join(self.tmpdirname						,       'tokenizer.bin')
         with open(a						,       'wb') as handle:
              pickle.dump(a						,       a)

         with open(a						,       'rb') as handle:
              lowercase__   :       Tuple				=	pickle.load(a)

         lowercase__   :       Any				=	tokenizer_new.tokenize(a)

         self.assertListEqual(a						,       a)





    @require_jumanpp
    def 				snake_case_    (				self):
         lowercase__   :       Optional[Any]				=	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 				snake_case_    (				self):
         lowercase__   :       Any				=	JumanppTokenizer(do_lower_case=a)

         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 				snake_case_    (				self):
         lowercase__   :       Tuple				=	JumanppTokenizer(normalize_text=a)

         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 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	JumanppTokenizer(trim_whitespace=a)

         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 				snake_case_    (				self):
         lowercase__   :       Optional[int]				=	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 				snake_case_    (				self):
         lowercase__   :       Any				=	["""[UNK]""", """[CLS]""", """[SEP]""", """こんにちは""", """こん""", """にちは""", """ばんは""", """##こん""", """##にちは""", """##ばんは"""]

         lowercase__   :       str				=	{}
         for i, token in enumerate(a):
              lowercase__   :       Any				=	i
         lowercase__   :       Any				=	WordpieceTokenizer(vocab=a						,       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 				snake_case_    (				self):
         lowercase__   :       Any				=	BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp')
         lowercase__   :       str				=	tokenizer.subword_tokenizer

         lowercase__   :       List[Any]				=	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(a						,       ['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。'])

         lowercase__   :       Tuple				=	subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは')
         self.assertListEqual(a						,       ['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは'])





    def 				snake_case_    (				self):
         lowercase__   :       Dict				=	self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese')

         lowercase__   :       Tuple				=	tokenizer.encode('ありがとう。'						,       add_special_tokens=a)
         lowercase__   :       Dict				=	tokenizer.encode('どういたしまして。'						,       add_special_tokens=a)

         lowercase__   :       List[str]				=	tokenizer.build_inputs_with_special_tokens(a)
         lowercase__   :       List[Any]				=	tokenizer.build_inputs_with_special_tokens(a						,       a)

         # 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__ (__lowercase		,	unittest.TestCase					):
    __lowerCamelCase						:	List[str]														=					BertJapaneseTokenizer
    __lowerCamelCase						:	Union[str, Any]														=					False





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

         lowercase__   :       List[str]				=	["""[UNK]""", """[CLS]""", """[SEP]""", """こ""", """ん""", """に""", """ち""", """は""", """ば""", """世""", """界""", """、""", """。"""]

         lowercase__   :       Optional[Any]				=	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 				snake_case_    (				self						,       **a):
         return BertJapaneseTokenizer.from_pretrained(self.tmpdirname						,       subword_tokenizer_type='character'						,       **a)





    def 				snake_case_    (				self						,       a):
         lowercase__   :       Tuple				=	"""こんにちは、世界。 \nこんばんは、世界。"""
         lowercase__   :       List[str]				=	"""こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"""
         return input_text, output_text





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





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





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





    def 				snake_case_    (				self):
         lowercase__   :       List[Any]				=	self.tokenizer_class(self.vocab_file						,       subword_tokenizer_type='character')

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





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

         lowercase__   :       Optional[Any]				=	{}
         for i, token in enumerate(a):
              lowercase__   :       int				=	i
         lowercase__   :       str				=	CharacterTokenizer(vocab=a						,       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 				snake_case_    (				self):
         lowercase__   :       int				=	self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char')

         lowercase__   :       List[str]				=	tokenizer.encode('ありがとう。'						,       add_special_tokens=a)
         lowercase__   :       Tuple				=	tokenizer.encode('どういたしまして。'						,       add_special_tokens=a)

         lowercase__   :       Union[str, Any]				=	tokenizer.build_inputs_with_special_tokens(a)
         lowercase__   :       Any				=	tokenizer.build_inputs_with_special_tokens(a						,       a)

         # 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					):





    def 				snake_case_    (				self):
         lowercase__   :       Tuple				=	"""cl-tohoku/bert-base-japanese"""
         lowercase__   :       Optional[Any]				=	AutoTokenizer.from_pretrained(a)
         self.assertIsInstance(a						,       a)



class 				SCREAMING_SNAKE_CASE__ (unittest.TestCase					):





    def 				snake_case_    (				self):
         lowercase__   :       str				=	"""cl-tohoku/bert-base-japanese"""
         with self.assertLogs('transformers'						,       level='WARNING') as cm:
              BertTokenizer.from_pretrained(a)
              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.'))
         lowercase__   :       Optional[Any]				=	"""bert-base-cased"""
         with self.assertLogs('transformers'						,       level='WARNING') as cm:
              BertJapaneseTokenizer.from_pretrained(a)
              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.'))




import argparse
import os

import numpy as np
import tensorflow as tf
import torch

from transformers import BertModel

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   BertModel     ,					SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   str      ):



     '''simple docstring'''





     lowercase__   :       Tuple				=	('dense.weight', 'attention.self.query', 'attention.self.key', 'attention.self.value')

     lowercase__   :       Dict				=	(
         ('layer.', 'layer_'),
         ('word_embeddings.weight', 'word_embeddings'),
         ('position_embeddings.weight', 'position_embeddings'),
         ('token_type_embeddings.weight', 'token_type_embeddings'),
         ('.', '/'),
         ('LayerNorm/weight', 'LayerNorm/gamma'),
         ('LayerNorm/bias', 'LayerNorm/beta'),
         ('weight', 'kernel'),
     )

     if not os.path.isdir(SCREAMING_SNAKE_CASE_      ):
          os.makedirs(SCREAMING_SNAKE_CASE_      )

     lowercase__   :       str				=	model.state_dict()

     def to_tf_var_name(SCREAMING_SNAKE_CASE_		:   str      ):
          for patt, repl in iter(SCREAMING_SNAKE_CASE_      ):
               lowercase__   :       Optional[int]				=	name.replace(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
          return f"""bert/{name}"""

     def create_tf_var(SCREAMING_SNAKE_CASE_		:   np.ndarray     ,					SCREAMING_SNAKE_CASE_		:   str     ,					SCREAMING_SNAKE_CASE_		:   tf.Session      ):
          lowercase__   :       Optional[Any]				=	tf.dtypes.as_dtype(tensor.dtype      )
          lowercase__   :       List[str]				=	tf.get_variable(dtype=SCREAMING_SNAKE_CASE_     ,					shape=tensor.shape     ,					name=SCREAMING_SNAKE_CASE_     ,					initializer=tf.zeros_initializer()      )
          session.run(tf.variables_initializer([tf_var]      )      )
          session.run(SCREAMING_SNAKE_CASE_      )
          return tf_var

     tf.reset_default_graph()
     with tf.Session() as session:
          for var_name in state_dict:
               lowercase__   :       Tuple				=	to_tf_var_name(SCREAMING_SNAKE_CASE_      )
               lowercase__   :       str				=	state_dict[var_name].numpy()
               if any(x in var_name for x in tensors_to_transpose      ):
                    lowercase__   :       str				=	torch_tensor.T
               lowercase__   :       Any				=	create_tf_var(tensor=SCREAMING_SNAKE_CASE_     ,					name=SCREAMING_SNAKE_CASE_     ,					session=SCREAMING_SNAKE_CASE_      )
               tf.keras.backend.set_value(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
               lowercase__   :       Optional[int]				=	session.run(SCREAMING_SNAKE_CASE_      )
               print(f"""Successfully created {tf_name}: {np.allclose(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )}"""      )

          lowercase__   :       Tuple				=	tf.train.Saver(tf.trainable_variables()      )
          saver.save(SCREAMING_SNAKE_CASE_     ,					os.path.join(SCREAMING_SNAKE_CASE_     ,					model_name.replace('-'     ,					'_'      ) + '.ckpt'      )      )

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   Optional[Any]=None      ):



     '''simple docstring'''





     lowercase__   :       List[str]				=	argparse.ArgumentParser()
     parser.add_argument('--model_name'     ,					type=SCREAMING_SNAKE_CASE_     ,					required=SCREAMING_SNAKE_CASE_     ,					help='model name e.g. bert-base-uncased'      )
     parser.add_argument(
         '--cache_dir'     ,					type=SCREAMING_SNAKE_CASE_     ,					default=SCREAMING_SNAKE_CASE_     ,					required=SCREAMING_SNAKE_CASE_     ,					help='Directory containing pytorch model'      )
     parser.add_argument('--pytorch_model_path'     ,					type=SCREAMING_SNAKE_CASE_     ,					required=SCREAMING_SNAKE_CASE_     ,					help='/path/to/<pytorch-model-name>.bin'      )
     parser.add_argument('--tf_cache_dir'     ,					type=SCREAMING_SNAKE_CASE_     ,					required=SCREAMING_SNAKE_CASE_     ,					help='Directory in which to save tensorflow model'      )
     lowercase__   :       List[str]				=	parser.parse_args(SCREAMING_SNAKE_CASE_      )

     lowercase__   :       int				=	BertModel.from_pretrained(
         pretrained_model_name_or_path=args.model_name     ,					state_dict=torch.load(args.pytorch_model_path      )     ,					cache_dir=args.cache_dir     ,					)

     convert_pytorch_checkpoint_to_tf(model=SCREAMING_SNAKE_CASE_     ,					ckpt_dir=args.tf_cache_dir     ,					model_name=args.model_name      )


if __name__ == "__main__":
       main()

