
import argparse

import torch

from transformers import RoFormerConfig, RoFormerForMaskedLM, load_tf_weights_in_roformer
from transformers.utils import logging


logging.set_verbosity_info()






def 						lowerCAmelCase_		(      _snake_case   :						List[Any]   ,     _snake_case   :						Optional[int]   ,     _snake_case   :						int     )       ->	int:







	'''simple docstring'''


	__magic_name__	:	Dict			     =  RoFormerConfig.from_json_file(lowercase__     )
	print(F'''Building PyTorch model from configuration: {config}'''     )
	__magic_name__	:	List[Any]			     =  RoFormerForMaskedLM(lowercase__     )

	# Load weights from tf checkpoint
	load_tf_weights_in_roformer(lowercase__   ,     lowercase__   ,     lowercase__     )

	# Save pytorch-model
	print(F'''Save PyTorch model to {pytorch_dump_path}'''     )
	torch.save(model.state_dict()   ,     lowercase__   ,     _use_new_zipfile_serialization=lowercase__     )


if __name__ == "__main__":
				snake_case				:	List[str]							   =						argparse.ArgumentParser()
				# Required parameters
				parser.add_argument(
				    "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
				)
				parser.add_argument(
				    "--bert_config_file",
				    default=None,
				    type=str,
				    required=True,
				    help=(
				        "The config json file corresponding to the pre-trained BERT model. \n"
				        "This specifies the model architecture."
				    ),
				)
				parser.add_argument(
				    "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
				)
				snake_case				:	Any							   =						parser.parse_args()
				convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.bert_config_file, args.pytorch_dump_path)


import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class    _snake_case      (  snake_case       ,		unittest.TestCase       ):
			UpperCamelCase__					   =					ElectraTokenizer
			UpperCamelCase__					   =					ElectraTokenizerFast
			UpperCamelCase__					   =					True
			UpperCamelCase__					   =					True
			UpperCamelCase__					   =					filter_non_english







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

				__magic_name__	:	Optional[Any]			     =  [
				    "[UNK]",
				    "[CLS]",
				    "[SEP]",
				    "[PAD]",
				    "[MASK]",
				    "want",
				    "##want",
				    "##ed",
				    "wa",
				    "un",
				    "runn",
				    "##ing",
				    ",",
				    "low",
				    "lowest",
				]
				__magic_name__	:	Dict			     =  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     SCREAMING_SNAKE_CASE					(       self		,     _a	):
				__magic_name__	:	Dict			     =  "UNwant\u00E9d,running"
				__magic_name__	:	int			     =  "unwanted, running"
				return input_text, output_text







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  self.tokenizer_class(self.vocab_file	)

				__magic_name__	:	Optional[int]			     =  tokenizer.tokenize("UNwant\u00E9d,running"	)
				self.assertListEqual(_a		,     ["un", "##want", "##ed", ",", "runn", "##ing"]	)
				self.assertListEqual(tokenizer.convert_tokens_to_ids(_a	)		,     [9, 6, 7, 12, 10, 11]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				if not self.test_rust_tokenizer:
					return

				__magic_name__	:	str			     =  self.get_tokenizer()
				__magic_name__	:	Optional[int]			     =  self.get_rust_tokenizer()

				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"

				__magic_name__	:	List[Any]			     =  tokenizer.tokenize(_a	)
				__magic_name__	:	str			     =  rust_tokenizer.tokenize(_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	int			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
				__magic_name__	:	Union[str, Any]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Tuple			     =  self.get_rust_tokenizer()
				__magic_name__	:	Union[str, Any]			     =  tokenizer.encode(_a	)
				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
				self.assertListEqual(_a		,     _a	)

				# With lower casing
				__magic_name__	:	Optional[Any]			     =  self.get_tokenizer(do_lower_case=_a	)
				__magic_name__	:	Union[str, Any]			     =  self.get_rust_tokenizer(do_lower_case=_a	)

				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"

				__magic_name__	:	Optional[Any]			     =  tokenizer.tokenize(_a	)
				__magic_name__	:	List[Any]			     =  rust_tokenizer.tokenize(_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Any			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
				__magic_name__	:	List[str]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
				self.assertListEqual(_a		,     _a	)

				__magic_name__	:	Dict			     =  self.get_rust_tokenizer()
				__magic_name__	:	Optional[int]			     =  tokenizer.encode(_a	)
				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
				self.assertListEqual(_a		,     _a	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Tuple			     =  BasicTokenizer()

				self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)		,     ["ah", "\u535A", "\u63A8", "zz"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Optional[Any]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["hello", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hällo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["h\u00E9llo"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	str			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Optional[int]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Dict			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HäLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HaLLo", "!", "how", "Are", "yoU", "?"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     never_split=["[UNK]"]	)

				self.assertListEqual(
				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	Dict			     =  ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

				__magic_name__	:	Optional[int]			     =  {}
				for i, token in enumerate(_a	):
					__magic_name__	:	Tuple			     =  i
				__magic_name__	:	Tuple			     =  WordpieceTokenizer(vocab=_a		,     unk_token="[UNK]"	)

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

				self.assertListEqual(tokenizer.tokenize("unwanted running"	)		,     ["un", "##want", "##ed", "runn", "##ing"]	)

				self.assertListEqual(tokenizer.tokenize("unwantedX running"	)		,     ["[UNK]", "runn", "##ing"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_whitespace(" "	)	)
				self.assertTrue(_is_whitespace("\t"	)	)
				self.assertTrue(_is_whitespace("\r"	)	)
				self.assertTrue(_is_whitespace("\n"	)	)
				self.assertTrue(_is_whitespace("\u00A0"	)	)

				self.assertFalse(_is_whitespace("A"	)	)
				self.assertFalse(_is_whitespace("-"	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_control("\u0005"	)	)

				self.assertFalse(_is_control("A"	)	)
				self.assertFalse(_is_control(" "	)	)
				self.assertFalse(_is_control("\t"	)	)
				self.assertFalse(_is_control("\r"	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				self.assertTrue(_is_punctuation("-"	)	)
				self.assertTrue(_is_punctuation("$"	)	)
				self.assertTrue(_is_punctuation("`"	)	)
				self.assertTrue(_is_punctuation("."	)	)

				self.assertFalse(_is_punctuation("A"	)	)
				self.assertFalse(_is_punctuation(" "	)	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	List[Any]			     =  self.get_tokenizer()
				__magic_name__	:	List[str]			     =  self.get_rust_tokenizer()

				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
				self.assertListEqual([tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)

				self.assertListEqual(
				    [rust_tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)







			@slow
			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	int			     =  self.tokenizer_class.from_pretrained("google/electra-base-discriminator"	)

				__magic_name__	:	List[Any]			     =  tokenizer.encode("sequence builders"		,     add_special_tokens=_a	)
				__magic_name__	:	List[Any]			     =  tokenizer.encode("multi-sequence build"		,     add_special_tokens=_a	)

				__magic_name__	:	Optional[int]			     =  tokenizer.build_inputs_with_special_tokens(_a	)
				__magic_name__	:	Tuple			     =  tokenizer.build_inputs_with_special_tokens(_a		,     _a	)

				assert encoded_sentence == [101] + text + [102]
				assert encoded_pair == [101] + text + [102] + text_a + [102]







			def     SCREAMING_SNAKE_CASE					(       self	):
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
						__magic_name__	:	str			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Optional[Any]			     =  f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
						__magic_name__	:	Any			     =  tokenizer_r.encode_plus(
						    _a		,     return_attention_mask=_a		,     return_token_type_ids=_a		,     return_offsets_mapping=_a		,     add_special_tokens=_a		,     )

						__magic_name__	:	Any			     =  tokenizer_r.do_lower_case if hasattr(_a		,     "do_lower_case"	) else False
						__magic_name__	:	int			     =  (
						    [
						        ((0, 0), tokenizer_r.cls_token),
						        ((0, 1), "A"),
						        ((1, 2), ","),
						        ((3, 5), "na"),
						        ((5, 6), "##ï"),
						        ((6, 8), "##ve"),
						        ((9, 15), tokenizer_r.mask_token),
						        ((16, 21), "Allen"),
						        ((21, 23), "##NL"),
						        ((23, 24), "##P"),
						        ((25, 33), "sentence"),
						        ((33, 34), "."),
						        ((0, 0), tokenizer_r.sep_token),
						    ]
						    if not do_lower_case
						    else [
						        ((0, 0), tokenizer_r.cls_token),
						        ((0, 1), "a"),
						        ((1, 2), ","),
						        ((3, 8), "naive"),
						        ((9, 15), tokenizer_r.mask_token),
						        ((16, 21), "allen"),
						        ((21, 23), "##nl"),
						        ((23, 24), "##p"),
						        ((25, 33), "sentence"),
						        ((33, 34), "."),
						        ((0, 0), tokenizer_r.sep_token),
						    ]
						)

						self.assertEqual(
						    [e[1] for e in expected_results]		,     tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]	)	)
						self.assertEqual([e[0] for e in expected_results]		,     tokens["offset_mapping"]	)







			def     SCREAMING_SNAKE_CASE					(       self	):
				__magic_name__	:	str			     =  ["的", "人", "有"]
				__magic_name__	:	List[str]			     =  "".join(_a	)
				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
						__magic_name__	:	Optional[int]			     =  True
						__magic_name__	:	Optional[int]			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)
						__magic_name__	:	Union[str, Any]			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Tuple			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)

						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)

						# it is expected that each Chinese character is not preceded by "##"
						self.assertListEqual(_a		,     _a	)
						self.assertListEqual(_a		,     _a	)

						__magic_name__	:	Tuple			     =  False
						__magic_name__	:	Tuple			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)
						__magic_name__	:	str			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)

						__magic_name__	:	Dict			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)
						__magic_name__	:	Dict			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)

						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)

						# it is expected that only the first Chinese character is not preceded by "##".
						__magic_name__	:	Tuple			     =  [
						    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_a	)
						]
						self.assertListEqual(_a		,     _a	)
						self.assertListEqual(_a		,     _a	)
